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1 Originally published as: Ge, Y., Zhou, F., Sun, B., Wang, S., Shi, B. (2017): The Impact Satellite Time Group Delay Inter- Frequency Differential Code Bias Corrections on Multi-GNSS Combined Positioning. - Sensors, 17, 3. DOI:

2 sensors Article The Impact Satellite Time Group Delay Inter-Frequency Differential Code Bias Corrections on Multi-GNSS Combined Positioning Yulong Ge 1,2,3, Feng Zhou 4,5, Baoqi Sun 1,2,3, *, Shengli Wang 6 Bo Shi 7 1 National Time Service Center, Chinese Academy Sciences, Xi an , China; geyulong15@mails.ucas.ac.cn 2 Key Laboratory Precise Navigation, Positioning Timing Technology, Chinese Academy Sciences, Xi an , China 3 University Chinese Academy Sciences, Beijing , China 4 School Information Science Technology, East China Normal University, 500 Dongchuan Road, Shanghai , China; fzhou@gfz-potsdam.de 5 German Research Centre for Geosciences GFZ, Telegrafenberg, Potsdam 14473, Germany 6 Institute Ocean Engineering, Shong University Science Technology, Qingdao , China; shlwang@sdust.edu.cn 7 College Geomatics, Shong University Science Technology, Qingdao , China; shibo@sdust.edu.cn * Correspondence: sunbaoqi@ntsc.ac.cn; Tel.: Received: 19 January 2017; Accepted: 3 March 2017; Published: 16 March 2017 Abstract: We present quad-constellation (namely, GPS, GLONASS, BeiDou Galileo) time group delay (TGD) differential code bias (DCB) correction models to fully exploit the code observations all the four global navigation satellite systems (GNSSs) for navigation positioning. The relationship between TGDs DCBs for multi-gnss is clearly figured out, the equivalence TGD DCB correction models combining theory with practice is demonstrated. Meanwhile, the TGD/DCB correction models have been extended to various stard point positioning (SPP) precise point positioning (PPP) scenarios in a multi-gnss multi-frequency context. To evaluate the effectiveness practicability broadcast TGDs in the navigation message DCBs provided by the Multi-GNSS Experiment (MGEX), both single-frequency GNSS ionosphere-corrected SPP dual-frequency GNSS ionosphere-free SPP/PPP tests are carried out with quad-constellation signals. Furthermore, the author investigates the influence differential code biases on GNSS positioning estimates. The experiments show that multi-constellation combination SPP performs better after DCB/TGD correction, for example, for GPS-only b1-based SPP, the positioning accuracies can be improved by 25.0%, 30.6% 26.7%, respectively, in the N, E, U components, after the differential code biases correction, while GPS/GLONASS/BDS b1-based SPP can be improved by 16.1%, 26.1% 9.9%. For GPS/BDS/Galileo the 3rd frequency based SPP, the positioning accuracies are improved by 2.0%, 2.0% 0.4%, respectively, in the N, E, U components, after Galileo satellites DCB correction. The accuracy Galileo-only b1-based SPP are improved about 48.6%, 34.7% 40.6% with DCB correction, respectively, in the N, E, U components. The estimates multi-constellation PPP are subject to different degrees influence. For multi-constellation combination SPP, the accuracy single-frequency is slightly better than that dual-frequency combinations. Dual-frequency combinations are more sensitive to the differential code biases, especially for the 2nd 3rd frequency combination, such as for GPS/BDS SPP, accuracy improvements 60.9%, 26.5% 58.8% in the three coordinate components is achieved after DCB parameters correction. For multi-constellation PPP, the convergence time can be reduced significantly with differential code biases correction. And the accuracy positioning is slightly better with TGD/DCB correction. Sensors 2017, 17, 602; doi: /s

3 Sensors 2017, 17, Keywords: GNSS; quad-constellation; time group delay (TGD); differential code bias (DCB); stard point positioning; precise point positioning 1. Introduction Currently, with more more satellites joining the family navigation systems, multiple global navigation satellite systems (multi-gnss) stard point positioning (SPP) [1], precise point positioning (PPP) [2], precise orbit determination (POD) [3] meteorology are becoming increasingly popular. GNSS pseudorange observations are well known to exhibit systematic biases related to delays caused by internal electronic/hardware components the overall signal generation, transmission processing chain [4]. In the new multi-gnss multi-frequency context, observations from different constellations, signals, frequencies channels need to be processed along with each other a proper consideration biases becomes matory for a consistent modeling all observations. For all precise GNSS applications that are supported by code carrier-phase observations, existing code biases represent a non-negligible error source. This includes time-oriented applications such as high-precision GNSS satellite clock estimation [5] as well as time transfer among GNSS observing stations [6], but also code- phase-based carrier phase ambiguities resolution. For ionosphere analysis, consideration inter-frequency code biases has been an issue for a long time. For positioning applications, code biases should be considered [7]. GNSS satellite clock fsets in both broadcast precise products are specific to the conventional signal or signal combination employed in their generation. It has been common practice to define GNSS clock fsets with respect to a dual-frequency ionosphere-free linear combination (LC) conventional reference signals for this purpose, such as L1/L2 P(Y)-code for GPS, G1/G2 P-code for GLONASS, E1/E5a or E1/E5b for Galileo. For Galileo, the precise clock products from the Multi-GNSS Experiment (MGEX) are based on the E1/E5a signal combination. For Galileo broadcast clock fsets, each Galileo satellite broadcasts its own clock correction data for all signals through the relevant signal, the F/NAV (Freely Accessible Navigation) I/NAV (Integrity Navigation). F/NAV reports the clock parameters valid for the E1/E5a combination, the I/NAV reports the parameters for the E1/E5b combination. Within the Galileo navigation message (RINEX format), the second parameter in the Broadcast Orbit 5 record ( Data source ) indicates the frequency pair the stored satellite clock corrections are valid for [8]. Typically, we find the value 258 corresponding to F/NAV 513 or 517 corresponding to I/NAV. Unlike other GNSSs, BeiDou broadcast clock fsets are chosen in a different manner, which are referred to a single-frequency B3 signal [9,10]. However, similar to other GNSSs, the BeiDou clock fsets in precise products are referred to the B1/B2 dual-frequency ionosphere-free observations combination [11,12]. During the estimation process satellite clock fsets, inter-frequency code biases are commonly ignored for reference signals mentioned before, which are assimilated into the satellite clock fsets. When using other signal or combined signals differing from the conventional reference signal or signal combination, the code biases, such as time group delay (TGD) or differential code bias (DCB), should be applied, which are essential for code-based positioning, time service ionosphere modeling [13]. The broadcast TGDs, which are referenced to empirical absolute satellite biases, are commonly used to compensate code biases in real-time for single-frequency users. TGDs are initially provided by the control segment based on measurements made by the space vehicle (SV) contractor during SV manufacture. Although TGDs are calibrated before launch, there is always some variation that occurs once the satellites are in orbit [14,15]. GPS TGDs have been estimated monitored by the Jet Propulsion Laboratory (JPL) for more than 15 years. Furthermore, more accurate code biases designated as DCBs are provided by GNSS communities to account for the same biases as TGDs, particularly for the post-processing applications [16]. DCBs are in a relative sense to reflect the differential code

4 Sensors 2017, 17, biases (satellites or receivers) between two different code observations obtained on the same or two different frequencies [17]. On 1 June 1998, International GNSS Service (IGS) started the ionosphere working group with the aim estimating satellite DCBs developing global ionosphere maps (GIM) based on GPS observations [18,19]. The GLONASS satellites DCBs have also been estimated by Center for Orbit Determination in Europe (CODE) since 2003 (see IGS Mail No. 4371). Within the Multi-GNSS Experiment (MGEX) [20] campaign launched by IGS [21], multi-gnss DCBs have been derived from observations the network. Details the DCB estimation process are described in Montenbruck et al. [22]. The TGD/DCB corrections their relationship to GPS have been analyzed summarized in [10]. A correction model for BeiDou is given in Montenbruck Steigenberger [9], it is only applicable to SPP. Guo et al. [10] extend the TGD DCB correction models to various occasions for BeiDou positioning first clearly figure out the relationship between TGDs DCBs for BeiDou. However, such correction models are only applicable to BeiDou, not to other GNSSs, such as Galileo. Furthermore, the relationship between TGDs DCBs for Galileo is not figured out, the equivalence TGD DCB correction models for Galileo is not demonstrated in current literature. The TGD/DCB correction models the effectiveness broadcast TGDs DCBs as well as their influences on single GNSS (e.g., Galileo) multiple GNSSs (e.g., GPS + GLONASS + BeiDou + Galileo) positioning are presently not clear yet in current literature. Within this contribution, we first provide a summary the current available TGDs DCBs (inter-frequency) for multi-gnss, describe their relationship combing theory with practice. Thereafter, the TGD DCB correction models are developed to multi-gnss code-based positioning scenarios. Furthermore, comprehensive analysis the influence code biases on multi-frequency combination SPP has been performed using quad-constellation GNSSs code observations as well as quad-constellation PPP. 2. Multi-GNSS TGDs/DCBs Correction Model 2.1. Methodology To maintain consistent modeling the pseudorange observations all the four GNSSs, we use P1 b1 (GPS L1 frequency: MHZ; GLONASS G1 frequency: MHZ; BDS B1 frequency: MHZ; Galileo E1 frequency: MHZ) to denote the pseudorange observation on the first frequency; P2 b2 (GPS L2 frequency: MHZ; GLONASS G2 frequency: MHZ; BeiDou B2 frequency: MHZ; Galileo E5a frequency: MHZ) to denote the pseudorange observation on the second frequency; P3 b3 (BeiDou B3 frequency: MHZ; Galileo E5b frequency: MHZ) to denote the pseudorange observation on the third frequency. In a multi-gnss context, data processing poses the problem mutual alignments reference frames time scales. Even though the broadcast orbits GPS (WGS84), GLONASS (PZ90.11), Beidou (CGCS2000), Galileo (GTRF) are formally referred to different reference frames, current realizations these frames are very closely aligned with the International Terrestrial Reference Frame (ITRF), they are commonly considered to agree at a few centimeter level [23], the difference in reference frames can hence be ignored in multi-gnss SPP processing. For use within multi-gnss, all broadcast precise orbits should be aligned to a unique time scale, commonly referred to GPS time scale, which also forms the basis all the observations. Computationally, the differences in time systems have been carried out by either solving for an additional receiver clock correction for each additional time system, or by solving for a receiver clock correction the fsets to the other time systems. We take the former strategy in our data processing Undifferenced Pseudorange Observation Equations Without loss generality, the functional model triple-frequency quad-constellation GNSS pseudorange observation P i (i = 1, 2, 3) can be expressed as:

5 Sensors 2017, 17, P 1 = ρ + T + I 1 + dt rcv dt sat + B P1 (1) P 2 = ρ + T + αi 1 + dt rcv dt sat + B P2 (2) P 3 = ρ + T + βi 1 + dt rcv dt sat + B P3 (3) where indices sat rcv refer to satellite receiver, respectively; ρ is the true geometric distance between satellite receiver; T is the slant troposphere delay; I 1 is the first-order slant ionospheric delay on the first frequency; α β are constant frequency-dependent multiplier factors (α = f 1 2 /f 2 2, β = f 1 2 /f 3 2, k = f 2 2 /f 3 2 ); dt rcv dt sat are the receiver satellite clock fsets in meters, respectively; B Pi (i = 1, 2, 3) is the code bias both the receiver satellite in meters. Code multipath code noise are ignored in the above model for simplicity. Actually, the code bias the receiver is the same for all the common-view satellites with the same signals at each epoch, they can be assimilated into the receiver clock fset without degrading the positioning vector in the positioning applications. Therefore, the code bias the receiver is not considered any more, B Pi (i = 1, 2, 3) sts only for the satellite part the code bias in the following sections this contribution TGD/DCB Correction Model for Multi-GNSS TGD/DCB correction models for multi-gnss are derived extended for various occasions: correction models for either broadcast satellite clock or precise satellite clock users; correction models with either TGD or DCB parameters; correction models for any single- dual-frequency signals. In addition, the relationship between TGDs DCBs for Galileo are explicitly figured out in this section. The formula can be simplified as: P 1 = ρ + T + I 1 + B P1 (4) P 2 = ρ + T + αi 1 + B P2 (5) P 3 = ρ + T + βi 1 + B P3 (6) PC 12 = ρ + T + B P12 (7) PC 13 = ρ + T + B P13 (8) PC 23 = ρ + T + B P23 (9) where PC ij (i, j = 1, 2, 3) is the ionosphere-free code observable in meters. B Pij (i, j = 1, 2, 3) is the code bias after ionosphere-free LC. (1) GNSS TGD/DCB correction models for single- dual-frequency users with broadcast satellite clock. When GPS satellites are used, B Pi (i = 1, 2, 3) B Pij (i, j = 1, 2, 3) can be described as: B P1 = TGD B P2 = αtgd 1 α 1 DCB P 1 P 2 (10) α α 1 DCB P 1 P 2 (11) B P12 = 0 (12) The relationship between TGD DCB is TGD = 1 1 α DCB P 1 P 2. It is worth mentioning that P1-C1 bias corrections should be considered in some occasions. Detailed correction terms for various observations refer to Schaer [24]. When BDS satellites are used, B Pi (i = 1, 2, 3) B Pij (i, j = 1, 2, 3) can be described as: B P1 = TGD 1 DCB P1 P 3 (13)

6 Sensors 2017, 17, B P2 = TGD 2 DCB P2 P 3 (14) B P3 = 0 (15) α B P12 = α 1 TGD 1 1 α α 1 TGD 2 α 1 DCB P 1 P 3 1 α 1 DCB P 2 P 3 [ ] [ ] (16) B P13 = β β 1 TGD 1 β β 1 DCB P 1 P 3 (17) B P23 = k k 1 TGD 2 k k 1 DCB P 2 P 3 (18) The relationship between TGD DCB are: TGD 1 = DCB P1 P 3, TGD 2 = DCB P2 P 3. When Galileo satellites are used, B Pi (i = 1, 2, 3) B Pij (i, j = 1, 2, 3) can be described as: B P1 = TGD β DCB P 1 P 3 (19) B P2 = αtgd 1 B P3 = βtgd α DCB P 1 P 2 (20) β 1 β DCB P 1 P 3 (21) According to the released Galileo ICD, the dual-frequency ionosphere-free pseudorange combinations (PCs) referring to E1/E5a E1/E5b signals are free code biases once the satellite clock fsets dt sat dtsat are used. Hence, for dual-frequency users, the IF(P 1,P 2 ),brd IF(P 1,P 3 ),brd ionosphere-free PCs take the following derivations: ( αk B P23 = k 1 TGD 1 β ) k 1 TGD 2 B P12 = 0 (22) B P13 = 0 (23) 1 ( k k 1 α 1 DCB P 1 P 2 β ) β 1 DCB P 1 P 3 (24) The relationship between TGD DCB is TGD 1 = α(1 α) 1 DCB P 1 P 2, TGD 2 = 1 β 1 DCB P 1 P 3, where TGD 1 TGD 2 represent BGD(E1,E5a) BGD(E1,E5b) from Galileo ICD, respectively. (2) GNSS TGD/DCB correction models for single- dual-frequency users with precise satellite clock. GPS TGD/DCB GLONASS DCB correction models for single- dual-frequency user with precise satellite clock is the same as Equations (10) (12). For BDS satellites, B P1 = 1 α 1 (TGD 1 TGD 2 ) 1 α 1 DCB P 1 P 2 (25) B P2 = α α 1 (TGD 1 TGD 2 ) α α 1 DCB P 1 P 2 (26) ) ( α α 1 DCB P 1 P 3 1 ) α 1 DCB P 2 P 3 (27) ( α B P3 = α 1 TGD 1 1 α 1 TGD 2 B P13 = ( 1 β 1 1 a 1 ) TGD α 1 TGD 2 ( 1 α 1 DCB P 1 P 2 1 β 1 DCB P 1 P 3 ) (28) B P12 = 0 (29)

7 Sensors 2017, 17, For Galileo satellites, B P23 = ( 1 α α TGD k 1 + ) α 1 α TGD 2 ( α α 1 DCB P 1 P 2 1 k 1 DCB P 2 P 3 ) (30) B P1 = αtgd 1 1 α 1 DCB P 1 P 2 (31) B P2 = α 2 TGD 1 α α 1 DCB P 1 P 2 (32) B P3 = (αtgd 1 + (β 1)TGD 2 ) ( α α 1 DCB P 1 P 3 1 ) α 1 DCB P 2 P 3 (33) B P23 = ( 1 B P13 = αtgd 1 TGD 2 ( α 2 TGD 1 β 1 ) k 1 TGD 2 B P12 = 0 (34) ) α 1 DCB P 1 P 2 1 β 1 DCB P 1 P 3 (35) ( α α 1 DCB P 1 P 2 1 ) k 1 DCB P 2 P 3 (36) In general, it is common to use the TGDs parameters from the RINEX navigation message for GPS, BDS Galileo SPP, the real-time positioning application, etc. because DCBs products cannot be obtained in real-time. For PPP the post positioning processing applications, using DCBs products is the best choice. The DCBs are systematically biased from the TGDs with constant fsets [10]. The positioning applications will not be affected due to the common code biased the constellation will be absorbed by receiver clock errors, while precise timing will be affected. It should be mentioned that the DCBs are systematically biased from the TGDs with constant fsets, such as TGD1 TGD2 BDS will not be equal to DCB P1 P 3 DCB P2 P 3, respectively. However, it does not matter to the positioning applications due to common biases the constellation will absolutely be absorbed by receiver clock errors. 3. Data Processing Strategy All observation data sets used in this study were collected by various organizations contributing to MGEX stations which was set-up by the IGS in 2011 to track, collect, analyze all available GNSS signals [20]. The MGEX network has grown to more than 110 stations now supporting at least one the new navigation systems (BeiDou, Galileo QZSS) in addition to the legacy GPS, GLONASS SBAS (Satellite Based Augmentation Systems). The quad-constellation satellite orbits clock fsets are corrected by the broadcast ephemris provided by MGEX (ftp://cddis.gsfc.nasa.gov/pub/gps/ data/campaign/mgex/daily/rinex3/2015/brdm/), or the precise orbit clock products at intervals 15 min 30 s, respectively, provided by The German Research Center for Geosciences (GFZ). The detailed observation model data processing strategies are summarized in Table 1 which is for the positioning at the user end. Notably, GLONASS does not require relativistic clock correction on the broadcast satellite clock fset at the user end. GPS, BDS Galileo TGD parameters can be obtained in brdmddd0.yyp file, where ddd yy indicate day year (DOY) the two-digit year. Currently, both GNSS satellites receiver biases from weekly averages daily DCBs are provided at ftp://cddis.gsfc.nasa.gov/pub/gps/products/mgex/dcb/. GNSS DCBs was extracted from the annual file MGEX2015_all.bsx.Z in this study. Most the GNSS observation errors (troposphere delay, ionosphere delay, multipath effect, etc.) have something to do with the elevation angle satellites. In order to weaken these errors, stochastic models based on the elevation angle satellite can be established. Elevation-angle based stochastic

8 Sensors 2017, 17, models mainly include trigonometric function model exponential function model. In this study, we use the sine function based elevation-angle stochastic model: σ 2 = σ2 0 sin 2 θ (37) where θ is the elevation angle the satellite, σ0 2 is the prior variance observations. Generally, the multipath the large observation noise usually exist at low elevation angle. In order to reduce the weight the observation with lower elevation angle, we define the weight segmentation. The corresponding code carrier phase variance matrix are: σ 2 = σ0 2 sin θ σ0 2 sin 2 θ θ > α θ < α, (38) α is the elevation angle threshold, it is set to be 30 generally. When adopting the pseudorange carrier phase observation at the same time, the variance-covariance expression is: σ 2 i = [ σ 2 P,i 0 0 σ 2 φ,i where σp,i 2, σ2 φ,i are the a priori variances code carrier phase observations, respectively. It is worth mentioning that different GNSS system have different observation a priori variances. For the GPS GLONASS code carrier phase observation, the precision is set to be 0.3 m m, respectively. Since the BDS satellite orbit clock are at a relatively lower accuracy, its measurements are down-weighted. That is, the phase observation precision is set to be m the code observation precision is set to be 0.6 m for BDS Galileo [25]. Table 1. Summary observation model data processing strategies for SPP PPP. ] (39) Item Descriptions Number stations 12 Date span 1 30 May 2015; 1 30 July 2016 Signal selection Sampling interval Elevation cut f Time system Tropospheric delay First order ionospheric delay GPS: L1/L2/L5; GLONASS: L1/L2; BeiDou: B1/B2/B3; Galileo: E1/E5a/E5b 30 s 10 GPS time Dry component: corrected with GPT model [26], wet component: estimated as rom-walk process, GMF mapping function applied. Single-frequency SPP: GPS/GLONASS: Klobuchar model BDS: Klobuchar model [27] Galileo: The NeQuick model [28] Dual-frequency: First order eliminated by ionosphere-free combination Relativistic effect IERS2010 [29] Sagnac effect IERS2010 [29] Phase wind-up effect Corrected [30] Satellite PCO PCV GPS GLONASS: Fixed to igs08_1861.atx values; Tide displacement IERS2010 [29] Station reference coordinates IGS SINEX solutions or daily GPS-only PPP solutions

9 Relativistic effect IERS2010 [29] Sagnac effect IERS2010 [29] Phase wind-up effect Corrected [30] Satellite PCO PCV GPS GLONASS: Fixed to igs08_1861.atx values; Tide displacement IERS2010 [29] Sensors 2017, 17, 602 Station reference coordinates IGS SINEX solutions or daily GPS-only PPP solutions 8 20 The BeiDou Galileo antenna fsets recommended by the MGEX project are used to correct the PCOs BeiDou Galileo satellites [31]. The distribution eight stations from MGEX are shown on The distribution stations from MGEX. To To investigate investigate the the influence influence code code bias bias on on different different constellation constellation combinations combinations positioning, positioning, three different schemes [10], pseudorange without TGDs or DCBs corrections, TGD corrected three different schemes [10], pseudorange without TGDs or DCBs corrections, TGD corrected DCB corrected, are described in Table 2. G, R, C E represent GPS, GLONASS, BDS Galileo, DCB corrected, are described in Table 2. G, R, C E represent GPS, GLONASS, BDS respectively. Galileo, respectively. Table 2. Summaries the processing strategy. Different Constellation Combinations G, C, E, G/R, G/C, G/R/C, G/C/E, G/R/C/E Proc. Mode Combination Schemes Comments SPP PPP Single-freq: b1, b2, b3; non-corr non-corr: pseudorange without TGDs or DCBs corrections dual-freq: b1b2, b1b3, b2b3 tgd-corr tgd-corr: TGD corrected dual-freq: b1b2, b1b3, b2b3 dcb-corr dcb-corr: DCB corrected 4. Experimental Results Analysis 4.1. Performance SPP with Broadcast Ephemeris Single-Frequency s 2 3 show the positioning errors one particular day (2 May 2015) for the north (N), east (E), up (U) component b1 b2 based different constellation combinations SPP at CUT0 station. Different constellation combinations SPP results with b1 b2 on other stations show similar features, thus would not be presented herein. The root mean square (RMS) errors the single-frequency SPP are calculated, the mean values all tests in different constellation combinations are summarized in Table 3. As shown in s 2 3 Table 3, the horizontal positioning error can reach meter-level, while the vertical positioning error is relatively large. For b1 b2 different constellation combination SPP, solution non-corr, the values RMS can reach 2 3 m in horizontal, 5 10 m in vertical. It is obvious that the positioning accuracy benefits from multi-gnss combinations. Significant improvements can be seen in the tgd-corr dcb-corr where the code biases are corrected with TGD DCB parameters. The values RMS can reach

10 single-frequency SPP are calculated, the mean values all tests in different constellation combinations are summarized in Table 3. As shown in s 2 3 Table 3, the horizontal positioning error can reach meter-level, while the vertical positioning error is relatively large. For b1 b2 different constellation combination SPP, solution non-corr, the values RMS can reach 2 3 m in horizontal, 5 10 m in vertical. It is obvious that the positioning accuracy benefits from Sensors 2017, 17, multi-gnss combinations. Significant improvements can be seen in the tgd-corr dcb-corr where the code biases are corrected with TGD DCB parameters. The values RMS can reach m min in horizontal about about 5 m 5 min in vertical vertical after after TGD/DCB correction. correction. For GPS-only For GPS-only b1-based b1-based SPP, SPP, the positioning the positioning accuracy accuracy can be canimproved be improved by 25.0%, by 25.0%, 30.6% 30.6% 26.7%, 26.7%, respectively, respectively, in the inn, thee, N, E, U components, U after after the differential the differential code code biases biases correction. correction. For GPS/GLONASS/BDS For b1-based b1-based SPP, the SPP, positioning the positioning accuracy accuracy can be improved can be improved by 16.1%, by26.1%, 16.1%, 26.1%, 9.9%, respectively, 9.9%, respectively, in the N, ine, the N, E, U components. U components. 5 G 5 G/C non-corr tgd-corr dcb-corr G/R 5 G/R/C (a) Horizontal Horizontal (a); (a); vertical vertical positioning positioning error error scatters scatters b1 b1 SPP SPP with with different different schemes schemes in four in four different different constellation constellation combinations. combinations. (a) For(a) each For plot, each theplot, horizontal the horizontal vertical axes vertical represent, axes respectively, represent, respectively, the N Ethe component N E error component (unit: m). error (unit: For each m). plot, For theeach horizontal plot, the horizontal vertical axes represent, vertical axes respectively, represent, the respectively, universal time the (unit: universal h) time the(unit: positioning h) error the positioning up component error error up (unit: component m). error (unit: m). Sensors 2017, 17, (a) Horizontal Horizontal (a); (a); vertical vertical positioning positioning error error scatters scatters b2 b2 SPP SPP with with different different schemes schemes in in four four different different constellation constellation combinations. combinations. (a) For (a) each For plot, each the plot, horizontal the horizontal vertical axes vertical represent, axes represent, respectively, respectively, the N E the component N E component error (unit: m). error (unit: For each m). plot, For the each horizontal plot, the horizontal vertical axes vertical represent, axes respectively, represent, the respectively, universal time the universal (unit: h) time the (unit: positioning h) error the positioning up component error error up component (unit: m). error (unit: m). As shown in Table 3, the positioning accuracy multi-gnss combination SPP performance benefits from TGD/DCB correction. For b3-based SPP, GPS/BDS/Galileo, GPS/BDS Galileo SPP were tested, this is because that GLONASS has no triple-frequency signal. The result GPS/BDS b3-based SPP is mainly affected by BDS satellites for that there are few triple-frequency GPS satellites the TGD/DCB was not corrected for GPS b3 pseudorange in the test. Hence the positioning results are unaffected by the differential code bias since the broadcast satellite clock corrections referring to B3 pseudorange. Table 3. RMS single-frequency stard point positioning (unit: m). Combinations Scheme b1 b2 b3 N E U N E U N E U

11 Sensors 2017, 17, Table 3. RMS single-frequency stard point positioning (unit: m). Combinations Scheme b1 b2 b3 N E U N E U N E U G non-corr G tgd-corr G dcb-corr E non-corr E tgd-corr E dcb-corr G/C non-corr G/C tgd-corr G/C dcb-corr G/R non-corr G/R tgd-corr G/R dcb-corr G/R/C non-corr G/R/C tgd-corr G/R/C dcb-corr G/C/E non-corr G/C/E tgd-corr G/C/E dcb-corr G/R/C/E non-corr G/R/C/E tgd-corr G/R/C/E dcb-corr represents no corresponding combination results, the same below. As shown in Table 3, the positioning accuracy multi-gnss combination SPP performance benefits from TGD/DCB correction. For b3-based SPP, GPS/BDS/Galileo, GPS/BDS Galileo SPP were tested, this is because that GLONASS has no triple-frequency signal. The result GPS/BDS b3-based SPP is mainly affected by BDS satellites for that there are few triple-frequency GPS satellites the TGD/DCB was not corrected for GPS b3 pseudorange in the test. Hence the positioning results are unaffected by the differential code bias since the broadcast satellite clock corrections referring to B3 pseudorange. On the other h, to investigate the impact differential code bias on Galileo satellites positioning for single frequency user, GPS/BDS/Galileo SPP GPS/BDS/GLONASS/Galileo SPP were tested due to fewer Galileo satellites. As we can see from Table 3, compared with GPS/BDS b1-based SPP, the positioning accuracy GPS/BDS/Galileo b1-based SPP was improved not significant in the first schemes. For GPS/BDS/Galileo b3-based SPP, the positioning accuracy can be improved by 0.2%, 1.1% 0.1%, respectively, in the N, E, U components, after TGD correction. It should be mentioned that the positioning results GPS/BDS b3-based SPP are unaffected by the differential code bias. The reason is the same as the previous one. The performance improvement GPS/BDS/Galileo b3-based SPP after differential code bias correction are mainly affected by Galileo satellites differential code bias correction. The positioning accuracy can be improved by 2.0%, 2.0% 0.4%, respectively, in the N, E, U components, after DCB correction. For Galileo-only SPP, the daily solution cannot be presented due to few Galileo satellites. Taking the dateset from MGEX station BRUX during time 18:06 20:30 on DOY 184, 2016 as an example, the Galileo satellite number PDOP are displayed in 4b. The PDOP values vary between The Galileo-only b1-based positioning errors for three different processing cases are shown in 4a. The positioning accuracy can be improved significantly with TGD/DCB correction. The mean RMS values Galileo-only positioning are presented in Table 3. Comparing with the first scheme ( non-corr ), the accuracy b1-based SPP are improved about 46.9%, 34.1% 34.9% with TGD correction, as well as 48.6%, 34.7% 40.6% with DCB correction, in the N, E, U components,

12 Taking the dateset from MGEX station BRUX during time 18:06 20:30 on DOY 184, 2016 as an example, the Galileo satellite number PDOP are displayed in 4b. The PDOP values vary between The Galileo-only b1-based positioning errors for three different processing cases are shown in 4a. The positioning accuracy can be improved significantly with TGD/DCB correction. The mean RMS values Galileo-only positioning are presented in Table 3. Sensors 2017, 17, Comparing with the first scheme ( non-corr ), the accuracy b1-based SPP are improved about 46.9%, 34.1% 34.9% with TGD correction, as well as 48.6%, 34.7% 40.6% with DCB correction, respectively. in The the N, accuracy E, U components, Galileo-only b2- respectively. or b3-based The positioning accuracy are Galileo-only subject to different b2- or b3-based degrees positioning influenceare with subject TGD/DCB to different corrections. degrees influence with TGD/DCB corrections. (a) Galileo-only Galileo-only b1-based b1-based SPP SPP positioning positioning errors errors BRUX BRUX for for three three different different processing processing cases cases (a); (a); Satellite Satellite number number PDOP PDOP at BRUX at BRUX Dual-Frequency Dual-Frequency As can be seen in 5, the positioning error b1b2 ionosphere-free combined SPP in As can be seen in 5, the positioning error b1b2 ionosphere-free combined SPP in different different constellation combinations at CUT0 station are presented. 6 shows the position error constellation combinations at CUT0 station are presented. 6 shows the position error b1b3 b1b3 b2b3 ionosphere-free combined SPP in different constellation combinations. The mean b2b3 ionosphere-free combined SPP in different constellation combinations. The mean values values (RMS error) all dual-frequency SPP tests in different constellation combinations are given (RMS error) all dual-frequency SPP tests in different constellation combinations are given in Table 4. in Table 4. For 5, the positioning results b1b2 ionosphere-free combined SPP in GPS For 5, the positioning results b1b2 ionosphere-free combined SPP in GPS GPS/GLONASS GPS/GLONASS combinations are unaffected by the different code bias since the broadcast satellite combinations are unaffected by the different code bias since the broadcast satellite clock corrections clock corrections refer to dual-frequency ionosphere-free LC. As shown in Table 4, the b1b2-based refer to dual-frequency ionosphere-free LC. As shown in Table 4, the b1b2-based SPP shows better SPP shows better performance, while that b1b3- b2b3-based SPP show poor performance performance, while that b1b3- b2b3-based SPP show poor performance relatively, especially relatively, especially that b2b3-based SPP. This is because that the observation noise is amplified. that b2b3-based SPP. This is because that the observation noise is amplified. Compared with the Compared with the first schemes, the positioning accuracy performance is better after TGD/DCB first schemes, the positioning accuracy performance is better after TGD/DCB correction, especially the correction, especially the third schemes. For example, for b1b2-based GPS/BDS SPP, the positioning third schemes. For example, for b1b2-based GPS/BDS SPP, the positioning accuracy can be improved accuracy can be improved by 13.5%, 25.3%, 3.8%, 15.1%, 37.1%, 5.3% in N, E, U by 13.5%, 25.3%, 3.8%, 15.1%, 37.1%, 5.3% in N, E, U components after TGD components after TGD DCB correction, respectively. This may be attributed to the more DCB correction, respectively. This may be attributed to the more accurate DCB products provided accurate DCB products provided by MGEX. Compared with the results b1b2-based by MGEX. Compared with the results b1b2-based ionosphere-free LC SPP, the performance ionosphere-free LC SPP, the performance single-frequency SPP is slightly poor for the poor single-frequency SPP is slightly poor for the poor accuracy Klobuchar model. For b1b3-based GPS/BDS SPP, the positioning accuracy can be improved by 33.9%, 20.4% 29.3%, respectively, in N, E, U components after TGD correction, be improved by 36.9%, 47.3% 43.2% respectively, in N, E, U components after DCB correction. For b2b3-based GPS/BDS SPP, the positioning accuracy can be improved by 60.9%, 26.5% 58.8%, respectively, in N, E, U components after TGD correction, be improved by 71.8%, 62.32% 81.45%, respectively, in N, E, U components after DCB correction. It should be pointed out that, since the large amplification factor b2b3 combination, the b2b3-based SPP is much more sensitive to the code biases. In general, the positioning accuracy multi-gnss dual-frequency combination SPP is slightly worse than single-frequency SPP. However, the positioning accuracy triple-constellation b1b2-based SPP can reach 1 2 m in horizontal 2 3 m in vertical. The positioning accuracy GPS/BDS b1b3-based SPP can reach 2 4 m in horizontal 5 6 m in vertical the b2b3-based SPP can reach 5 6 m in horizontal 6 7 m in vertical after TGD/DCB correction. It should be noted that the results GPS/BDS b1b2 combination are slightly poorer without TGD/DCB correction than GPS. It can also explain the importance TGD/DCB correction for BDS positioning.

13 positioning accuracy triple-constellation b1b2-based SPP can reach 1 2 m in horizontal 2 3 m be pointed out that, since the large amplification factor b2b3 combination, the b2b3-based SPP is in vertical. much The more positioning sensitive to accuracy the code biases. GPS/BDS In general, b1b3-based the SPP positioning can reach accuracy 2 4 m in multi-gnss horizontal 5 6 m dual-frequency in vertical combination the b2b3-based SPP SPP is slightly can reach worse 5 6 than m in single-frequency horizontal SPP. 6 7 m However, in vertical the after TGD/DCB positioning correction. accuracy It should triple-constellation be noted that b1b2-based the results SPP can GPS/BDS reach 1 2 b1b2 m in combination horizontal are 2 3 slightly m poorer in without vertical. The TGD/DCB positioning correction accuracy than GPS/BDS GPS. It b1b3-based can also SPP explain can reach the 2 4 importance m in horizontal TGD/DCB Sensors , m 17, in 602 vertical the b2b3-based SPP can reach 5 6 m in horizontal 6 7 m in vertical after correction for BDS positioning. TGD/DCB correction. It should be noted that the results GPS/BDS b1b2 combination are slightly poorer without TGD/DCB correction than GPS. It can also explain the importance TGD/DCB correction for BDS positioning. (a) (a) Positioning Positioning error series error b1b2 series SPP in b1b2 multi- SPP constellation in multicombinations: constellation (a) description combinations: GPS GPS/GLONASS 5. Positioning error combinations; series b1b2 (a) description GPS GPS/GLONASS SPP in multicombinations; description constellation GPS/BDS combinations: description GPS/GLONASS/BDS (a) description GPS/BDS combinations. GPS GPS/GLONASS combinations; description GPS/BDS GPS/GLONASS/BDS GPS/GLONASS/BDS combinations. combinations. 6. Positioning error scatters b1b3 b2b3 SPP with different schemes in G/C constellation 6. Positioning error scatters b1b3 b2b3 SPP with different schemes in G/C constellation combinations. 6. Positioning For error each scatters plot, the b1b3 upper b2b3 lower SPP with plots different represent, schemes respectively, in G/C horizontal combinations. For each plot, the upper lower plots represent, respectively, horizontal constellation positioning positioning error scatters Vertical positioning error scatters. combinations. error scatters For Vertical each plot, positioning the upper error scatters. lower plots represent, respectively, horizontal positioning error scatters Vertical positioning error scatters. Combinations Table 4. RMS dual-frequency stard point positioning (unit: m). Scheme b1b2 b1b3 b2b3 N E U N E U N E U G non-corr G/C non-corr G/C tgd-corr G/C dcb-corr G/R non-corr G/R/C non-corr G/R/C tgd-corr G/R/C dcb-corr G/C/E non-corr G/C/E tgd-corr G/C/E dcb-corr G/R/C/E non-corr

14 Sensors 2017, 17, As we can see in Table 4, compared with GPS/BDS b1b2- b1b3-based SPP, the RMS for the three-dimension (3-D) position GPS/BDS/Galileo b1b2- b1b3-based SPP are improved by 6.2% 3.3%, respectively. It is worth noting that Galileo b1b2- b1b3-based SPP are unaffected by differential code bias correction according to Equations (22) (23). For b2b3-based SPP, the GPS/BDS/Galileo combination SPP slightly improves the 3-D positioning accuracy over the GPS/BDS combination for more than 7.8% in the third schemes (DCB correction) Performances PPP s 7 9 show the positioning solution b1b2-, b1b3-, b2b3-based PPP in multi-constellation. The RMS errors dual-frequency PPP in multi-constellation combinations are calculated, the mean values all PPP tests after convergence are summarized in Table 5. The results were statistically calculated from one hour after positioning. As show in Table 5, b1b2-based PPP show the best performance. The positioning accuracy reaches about cm in horizontal 2 5 cm in vertical. The positioning accuracy multi-constellation PPP shows better performance than single constellation PPP. Compared with single constellation PPP, Multi-constellation PPP can obviously improve the convergence time [32]. The BDS-only PPP has poorer accuracy than the GPS-only PPP. This is most probably because the poor orbit accuracy GEO, smaller number satellites, especially outside East-Asian/Australian region presently, the lack precise PCO PCV corrections are now available for BDS satellites receiver [25]. The results b1b2-based PPP are unaffected by differential code bias. This is because that the precise satellite clock corrections refer Sensors 2017, to b1b2 17, 602 ionosphere-free LC Positioning 7. Positioning error error (N, E, (N, E, U) U) b1b2 quad-constellation PPP. PPP. For each For plot, each the plot, horizontal the horizontal axis represents the universal time (unit: h), the vertical axis represents the corresponding axis represents the universal time (unit: h), the vertical axis represents the corresponding positioning error (unit: m). positioning error (unit: m).

15 7. 7. Positioning error error (N, (N, E, E, U) U) b1b2 b1b2 quad-constellation PPP. PPP. For For each each plot, plot, the the horizontal axis the time (unit: h), the vertical axis the Sensorsaxis 2017, represents 17, 602 the universal time (unit: h), the vertical axis represents the corresponding positioning error error (unit: (unit: m). m) Positioning results results (N, (N, E, E, U) U) b1b3 b1b3 GPS/BDS/Galileo PPP PPP (unit: (unit: m). m) Positioning results results (N, (N, E, E, U) U) b2b3 b2b3 GPS/BDS/Galileo PPP PPP (unit: (unit: m). m). 9. Positioning results (N, E, U) b2b3 GPS/BDS/Galileo PPP (unit: m). Table 5. RMS multi-constellation PPP (unit: m). Combinations Scheme b1b2 b1b3 b2b3 N E U N E U N E U G non-corr C non-corr C tgd-corr C dcb-corr G/R non-corr G/C non-corr G/C tgd-corr G/C dcb-corr G/R/C non-corr G/C/E non-corr G/C/E tgd-corr G/C/E dcb-corr G/R/C/E non-corr For b1b3- b2b3-based PPP, as shown in 8 Table 5, the positioning accuracy is significantly worse than b1b2-based PPP, while b2b3-based PPP shows the worst performance. It can be seen that b1b3-based PPP takes much longer time to converge in the first schemes ( non-corr ). The convergence time were improved obviously after TGD/DCB parameters correction. The results b1b3-based PPP need five hours or longer to reach the centimeter level without differential code bias,

16 Sensors 2017, 17, while it takes only about 2 h after TGD/DCB correction. Compared with BDS-only PPP, GPS/BDS PPP shows better performance. The triple-constellation (GPS/BDS/Galileo) PPP further increases the positioning accuracy over the dual-constellation (GPS/BDS) PPP. The result triple-constellation PPP after TGD/DCB correction show better performance than the result triple-constellation PPP without differential code biases correction. 10 indicates the positioning results Galileo-only b1b3-based PPP. Combined with 4b, the positioning accuracy is poor due to few Galileo satellites. The difference b1b3-based PPP solutions between the first scheme ( non-corr ) TGD/DCB correction reaches a few meters at first few hours. After a few hours smoothing, the differences are decreased to few millimeters. The convergence time are reduced significantly with TGD/DCB corrections. The same feature can be observed in the b2b3 PPP with slightly larger differences, will Sensors not 2017, be 17, presented 602 herein Positioning Positioning results results (N, (N, E, E, U) U) b1b3-based b1b3-based Galileo Galileo PPP. PPP. Table 5. RMS multi-constellation PPP (unit: m). The differential code bias would affect positioning results; in addition, it can be absorbed by other parameters, b1b2 b1b3 b2b3 Combinations such as receiver Scheme clock, ambiguity tropospheric delay or be reflected in the residual. 11 shows the pseudorangen residuals E b1b3 U PPPN in GPS/BDS/Galileo E U N combination. E U As can G non-corr be seen in 12, the pseudorange residuals b2b3 PPP in GPS/BDS/Galileo combination C non-corr Galileo satellites at b1b3 PPP solution are presented, the same feature can be observed in b2b3 PPP with C tgd-corr slightly larger differences, which will not be presented herein. As we can see in s 11 12, the C dcb-corr residuals G/R the first schemes non-corr ( non-corr ) show the worst- performance, - - especially - for the - pseudorange - residuals G/C b2b3-based non-corr PPP. It is0.008 obvious that0.022 there are some systematic biases The pseudorange residuals fluctuate G/C around tgd-corr zero after - TGD/DCB - parameters correction, the residuals values are significantlyg/c reduced. The dcb-corr Galileo satellites - - in the - relatively small number satellites can be observed in each session, G/R/C even non-corr unobserved As part the Galileo - - navigation - satellites, - - ephemeris - has not been provided; G/C/E thenon-corr residuals0.012 some Galileo satellites are not affected0.203 by the TGD0.413 correction. G/C/E tgd-corr The residual Galileo shows the same feature with other satellites. On the other h, the residuals G/C/E dcb-corr the first schemes are larger, which demonstrates that the initial positioning accuracy has been greatly G/R/C/E non-corr affected. Thus, the convergence time is slow. In other words, the convergence time the accuracy positioning could be effectively reduced using TGD/DCB parameters. The differential code bias would affect positioning results; in addition, it can be absorbed by other parameters, such as receiver clock, ambiguity tropospheric delay or be reflected in the residual. 11 shows the pseudorange residuals b1b3 PPP in GPS/BDS/Galileo combination. As can be seen in 12, the pseudorange residuals b2b3 PPP in GPS/BDS/Galileo combination Galileo satellites at b1b3 PPP solution are presented, the same feature can be observed in b2b3 PPP with slightly larger differences, which will not be presented herein. As we can see in s 11 12, the residuals the first schemes ( non-corr ) show the worst performance, especially for the pseudorange residuals b2b3-based PPP. It is obvious that there are some systematic biases. The pseudorange residuals fluctuate around zero after TGD/DCB parameters correction, the residuals values are significantly reduced. The Galileo satellites in the relatively small number satellites can be observed in each session, even unobserved. As part the Galileo navigation satellites, ephemeris has not been provided; the residuals some Galileo satellites are not affected

17 Sensors 2017, 17, Sensors Sensors 2017, 2017, 17, 17, Pseudorange Pseudorange residuals: residuals: b1b3 b1b3 GPS/BDS/ GPS/BDS/ Galileo PPP solutions on on CUT0 station. (a) (a) Pseudorange Pseudorange residuals residuals PPP PPP solutions solutions on on CUT0 CUT0 station: station: (a) (a) description description b2b3 b2b3 GPS/BDS/Galileo 12. Pseudorange PPP solutions; residuals PPP description solutions b1b3 on CUT0 GPS/BDS/Galileo station: (a) PPP description solutions. b2b3 GPS/BDS/Galileo PPP solutions; description b1b3 GPS/BDS/Galileo PPP solutions. GPS/BDS/Galileo PPP solutions; description b1b3 GPS/BDS/Galileo PPP solutions. The The unmodeled differential code code bias bias can can be be absorbed into into receiver clock clock bias bias as as well well as as the the float float The ambiguities unmodeled [10]. [10]. differential Thus, Thus, we we code should should bias can be be be very very absorbed careful careful into to receiver take take this this clock issue issue bias into into as well account as the when when float multi-gnss ambiguities [10]. is is used used Thus, for for we high high should precision be very careful timing timing to applications. take this issue Compared into account with with when the the multi-gnss result result the the is differential used for high code code precision biases biases timing uncorrected, applications. the the differences Compared with the the the clock clock result range range the up up differential to to ns ns code with with biases the the differential uncorrected, code code the differences biases biases corrected the clock by by DCB DCB range parameters up to ns for for with all all tests. tests. the differential The The tropospheric code biases differences corrected between by DCB parameters the the first first schemes for all tests. the the The other other tropospheric two two schemes, differences the the values values between difference the first schemes are are a few few millimeters the other for two for all all schemes, tests. tests. The The the second second values difference third third schemes are a few show show millimeters the the same same feature for feature all tests. during during The the the second whole whole period. period. third schemes show the same feature during the whole period Kinematic Results Results Analysis 4.3. Kinematic Results Analysis The The GNSS GNSS data data were were collected from from the the V-Surs V-Surs I vehicle-borne three-dimensional mobile mobile surveying The GNSS system system data for for were about about collected 3 h while while from the the the vehicle vehicle V-Surs was was I vehicle-borne moving. As As three-dimensional show show in in 13, 13, mobile this this system system surveying has has system been been researched for about 3 h while developed the vehicle by by Shong was moving. University As show in Science 13, this Technology system has been the the researched company Supersurs developed mobile mobile by Shong surveying University service, it it is is Science equipped with with Technology a three-system the company receiver Supersurs NovAtel Propak6 mobile surveying inertial inertial service, measurement it is equipped unit unit (IMU) (IMU) with a three-system span span LCI LCI type. type. receiver The The type type NovAtel antenna Propak6 the the sampling inertial measurement rate rate the the receiver unit (IMU) are are NOV703GGG span LCI type. The 1 type s, s, respectively. antenna The The the trajectory sampling rate this this experiment is is shown shown in in

18 Sensors 2017, 17, the receiver are NOV703GGG 1 s, respectively. The trajectory this experiment is shown in Sensors 2017, , Sensors 2017, 17, V-Surs V-Surs I vehicle-borne vehicle-borne three-dimensional three-dimensional mobile mobile surveying surveying system. system. 13. V-Surs I vehicle-borne three-dimensional mobile surveying system. 14. The trajectory this experiment. 14. The trajectory this experiment. 14. The trajectory this experiment. To investigate the impact differential code biases on kinematic positioning, a triple-constellation To investigate SPP the test was impact conducted differential at Qingdao, code China biases on 30 April on kinematic We used positioning, GNSS/INS a tightly triple-constellation To investigate the coupled resolution SPP impact test was differential Inertial conducted code Explorer at 8.60 Qingdao, biases on stware China kinematic (IE on 8.60) 30 positioning, April to resolve a these We triple-constellation used data, GNSS/INS the results tightly SPP test coupled was conducted were regarded resolution at as Qingdao, Inertial the external Explorer China on April reference stware values. (IE We 8.60) used The to GNSS/INS resolve positioning these tightly data, coupled errors the GPS/BDS/GLONASS results resolutionwere Inertial regarded Explorer SPP show as 8.60 better the stware performance external (IEreference 8.60) to resolve after TGD/DCB values. these correction The data, positioning the results in 15. errors were The RMS kinematic GPS/BDS/GLONASS regarded as the external values using SPP reference the show positioning better values. performance The positioning errors in 3 after h are TGD/DCB errors presented correction GPS/BDS/GLONASS in Table in 6. The 15. SPP results The show RMS uncorrected kinematic better performance values code biases using after seriously the TGD/DCB positioning correction degrade errors in the positioning in 3 h are 15. accuracy. presented The RMS kinematic With Table the inclusion 6. values The results using the the positioning uncorrected positioning errors accuracy code in biases 3 h are with DCB/TGD seriously presented degrade in Table correction, the 6. the positioning The results triple-constellation accuracy. uncorrected b1b2-based With code the inclusion biases seriously SPP with DCB the parameters positioning degrade the correction accuracy positioning with accuracy. improves DCB/TGD With the correction, the inclusion positioning the accuracies triple-constellation the positioning about 63.8%, b1b2-based accuracy with 72.7%, SPP DCB/TGD with 10.3%, respectively, parameters correction, the in correction triple-constellation the three coordinate improves the b1b2-based components, positioning SPP with accuracies DCB parameters the positioning about accuracy 63.8%, correction can 72.7%, improves be improved 10.3%, the by 65.1%, respectively, positioning accuracies 72.1%, in the 8.8% three about in N, coordinate 63.8%, 72.7%, E, U, components, 10.3%, respectively, respectively, with the TGD positioning in the parameters accuracy three coordinate correction. can be Test improved components, using b1 by 65.1%, the b2 combination 72.1%, positioning 8.8% accuracy on multi-gnss in N, can E, be improved combination U, respectively, by 65.1%, shows with 72.1%, similar TGD parameters 8.8% in feature correction. N, E, U, will not be Test respectively, presented using b1 herein. b2 combination on multi-gnss combination shows similar feature will not be presented herein.

19 Sensors 2017, 17, Table 6. RMS multi-constellation SPP (unit: m). b1 b2 b1b2 Sensors G/R/C 2017, 17, N E U N E U N E U non-corr with tgd-corr TGD parameters correction Test using b b2 combination on multi-gnss combination shows similar dcb-corr feature2.009 will1.009 not be presented herein Positioning error series b1b2 kinematic GPS/BDS/GLONASS SPP. 15. Positioning error series b1b2 kinematic GPS/BDS/GLONASS SPP. 5. Summary Table 6. RMS multi-constellation SPP (unit: m). This paper introduces research regarding the status multi-constellation (GPS + BDS + GLONASS + Galileo) timing b1 group delay (TGD) b2 differential code bias (DCB) b1b2 parameters, G/R/C then reveals the N relationship E between U TGDs N DCBs Efor Galileo. U Multi-GNSS N TGD/DCB E correction U models non-corrfor any 3.425single (b1, b2, b3) dual-frequency (b1b2, b1b3, b2b3) 3.357combinations from tgd-corr triple-frequency GNSS signals are assessed by three 1.755different 9.691schemes, in which the differential code dcb-corr biases are either ignored ( non-corr ), or corrected with TGD 1.213( TGD-corr ) or DCB ( DCB-corr ) parameters. The model is extended to SPP/PPP processing with observations from 5. single-, Summary dual-, triple- or quad-constellations. Static datasets collected at eight stations over thirty consecutive This paper days introduces as well as research a kinematic regarding experimental the status dataset multi-constellation are used to fully (GPS evaluate + BDS the + GLONASS influence + Galileo) positioning timing accuracy group with delay TGD/DCB (TGD) correction. differential code bias (DCB) parameters, then reveals the relationship Comparative between analysis TGDs the influence DCBs for differential Galileo. Multi-GNSS code biases TGD/DCB on multi-gnss correction combination models for (GPS, any BDS, single- GPS (b1, + BDS, b2, GPS + b3) GLONASS, dual-frequency GPS + BDS + (b1b2, GLONASS, b1b3, GPS + b2b3) BDS + combinations Galileo, GPS from + BDS + GLONASS + Galileo) positioning accuracy reveals that, for SPP with broadcast or precise orbit triple-frequency GNSS signals are assessed by three different schemes, in which the differential clock, the positioning accuracy GPS-only single frequency SPP can reach 2 3 m in horizontal code biases are either ignored ( non-corr ), or corrected with TGD ( TGD-corr ) or DCB ( DCB-corr ) 5 10 m in vertical without the differential code biases, while the positioning accuracy can reach parameters. The model is extended to SPP/PPP processing with observations from single-, dual-, 1 2 m in horizontal 5 m in vertical after TGD/DCB correction. The accuracy Galileo-only triple- or quad-constellations. Static datasets collected at eight stations over thirty consecutive days b1-based SPP are improved about 48.6%, 34.7% 40.6% with DCB correction, respectively, in the as well as a kinematic experimental dataset are used to fully evaluate the influence positioning N, E, U components. Multi-GNSS combination SPP achieves obviously better positioning accuracy with TGD/DCB correction. accuracy than GSP-only SPP at three different schemes. For example, compared with b1-based Comparative analysis the influence differential code biases on multi-gnss combination GPS-only SPP, the accuracy the b1-based GPS/BDS/GLONASS combination SPP can be improved (GPS, BDS, GPS + BDS, GPS + GLONASS, GPS + BDS + GLONASS, GPS + BDS + Galileo, GPS + by 23.5%, 8.0%, 17.5% in the three coordinate components, respectively. The uncorrected code biases BDS + GLONASS + Galileo) positioning accuracy reveals that, for SPP with broadcast or precise orbit seriously degrade the positioning accuracy multi-gnss combination dual-frequency SPP, clock, the positioning accuracy GPS-only single frequency SPP can reach 2 3 m in horizontal especially for the b2b3-based SPP. For example, the positioning accuracy GSP/BDS b2b3-based 5 10 m in vertical without the differential code biases, while the positioning accuracy can reach can be improved by 71.8%, 62.32% 81.45%, respectively, in the three coordinate components. It is 1 2 m in horizontal 5 m in vertical after TGD/DCB correction. The accuracy Galileo-only noted that the accuracy static positioning after adding Galileo are not significant due to that there b1-based SPP are improved about 48.6%, 34.7% 40.6% with DCB correction, respectively, in the N, re fewer Galileo satellites currently in orbits. For GPS/BDS/Galileo b3-based SPP, the positioning E, U components. Multi-GNSS combination SPP achieves obviously better positioning accuracy than GSP-only SPP at three different schemes. For example, compared with b1-based GPS-only SPP, the accuracy the b1-based GPS/BDS/GLONASS combination SPP can be improved by 23.5%,

20 Sensors 2017, 17, %, 17.5% in the three coordinate components, respectively. The uncorrected code biases seriously degrade the positioning accuracy multi-gnss combination dual-frequency SPP, especially for the b2b3-based SPP. For example, the positioning accuracy GSP/BDS b2b3-based can be improved by 71.8%, 62.32% 81.45%, respectively, in the three coordinate components. It is noted that the accuracy static positioning after adding Galileo are not significant due to that there are fewer Galileo satellites currently in orbits. For GPS/BDS/Galileo b3-based SPP, the positioning accuracy can be improved by 2.0%, 2.0% 0.4%, respectively, in the N, E, U components, after Galileo satellites DCB correction. Compared to GPS/BDS b2b3-based SPP, GPS/BDS/Galileo b2b3-based SPP improves the 3-D positioning accuracy by 7.6% in the third schemes. The multi-gnss ionosphere-free LC PPP positioning results indicate that the differential code bias has no influence on b1b2-based PPP, the positioning accuracy b1b3- or b2b3-based PPP while the convergence time has been greatly improved by the TGD/DCB correction. The differences in PPP coordinate solutions are very small after convergence. The effect coordinates parameters is mainly reflected in the initialization phase. It is interesting to note that the differential code biases do not matter to the positioning applications since the biases will be partly absorbed by other parameters such as receiver clock bias, tropospheric delay carrier phase ambiguities. For kinematic positioning, GPS/GLONASS/BDS combination b1b2-based SPP with DCB parameters correction improves the positioning accuracy about 63.8%, 72.7%, 10.3%, respectively, in the three coordinate components, the positioning accuracy can be improved by 65.1%, 72.1%, 8.8% in N, E, U, respectively, with TGD parameters correction. In general, for both the static kinematic positioning, the performances have been improved significantly after TGD/DCB correction. It is unwise to ignore the differential code biases in the applications multi-gnss positioning, precise timing tropospheric delay estimation. Acknowledgments: This work is supported by National Natural Science Foundation China (No ), National Natural Science Foundation China (No ) the international GNSS Monitoring Assessment System (igmas). Many thanks go to the IGS MGEX for providing multi-gnss ground tracking data, precise orbit clock products. Author Contributions: Yulong Ge Feng Zhou conceived defined the research scheme. Yulong Ge performed the experiments, checked the data processing results, wrote the manuscript. Baoqi Sun, Shengli Wang Bo Shi helped to revise the manuscript. Baoqi Sun Yulong Ge determined the theme the title. Conflicts Interest: The authors declare no conflict interest. References 1. Cai, C.; Gao, Y.; Pan, L.; Dai, W. An analysis on combined GPS/COMPASS data quality its effect on single point positioning accuracy under different observing conditions. Adv. Space Res. 2014, 54, [CrossRef] 2. Li, X.; Zhang, X.; Ren, X.; Fritsche, M.; Wickert, J.; Schuh, H. Precise positioning with current multi-constellation Global Navigation Satellite Systems: GPS, GLONASS, Galileo BeiDou. Sci. Rep. 2015, 5, [CrossRef] [PubMed] 3. Tegedor, J.; Øvstedal, O.; Vigen, E. Precise orbit determination point positioning using GPS, Glonass, Galileo BeiDou. J. Geod. Sci. 2014, 4, [CrossRef] 4. Teunissen, P.J.; Kleusberg, A. GPS for Geodesy; Springer: Berlin, Germany, Ge, M.; Chen, J.; Douša, J.; Gendt, G.; Wickert, J. A computationally efficient approach for estimating high-rate satellite clock corrections in realtime. GPS Solut. 2011, 16, [CrossRef] 6. Ray, J.; Senior, K. Geodetic techniques for time frequency comparisons using GPS phase code measurements. Metrologia 2005, 42, [CrossRef] 7. Montenbruck, O.; Hauschild, A. Code Biases in Multi-GNSS Point Positioning. In Proceedings the 2013 ION International Technical Meeting, San Diego, CA, USA, January 2013; pp The Receiver Independent Exchange Format (RINEX) Version Available online: ftp://igs.org/pub/ data/format/rinex302.pdf (accessed on 6 March 2017). 9. Montenbruck, O.; Steigenberger, P. The BeiDou Navigation Message. J. Glob. Position Syst. 2013, 12, [CrossRef]

21 Sensors 2017, 17, Guo, F.; Zhang, X.; Wang, J. Timing group delay differential code bias corrections for BeiDou positioning. J. Geod. 2015, 89, [CrossRef] 11. Zhao, Q.; Guo, J.; Li, M.; Qu, L.; Hu, Z.; Shi, C.; Liu, J. Initial results precise orbit clock determination for COMPASS navigation satellite system. J. Geod. 2013, 87, [CrossRef] 12. Deng, Z.; Zhao, Q.; Springer, T.; Prange, L.; Uhlemann, M. Orbit clock determination-beidou. In Proceedings the IGS workshop, Pasadena, CA, USA, June 2014; pp Wu, X.; Hu, X.; Wang, G.; Zhong, H.; Tang, C. Evaluation COMPASS ionospheric model in GNSS positioning. Adv. Space Res. 2013, 51, [CrossRef] 14. Coker, C. Variability GPS satellite differential group delay biases. IEEE Trans. Aerosp. Electron. Syst. 1991, 27, Sardón, E.; Zarraoa, N. Estimation total electron content using GPS data: How stable are the differential satellite receiver instrumental biases? Radio Sci. 1997, 32, [CrossRef] 16. Schaer, S.; Steigenberger, P. Determination use GPS differential code bias values. In Proceedings the IGS Workshop, Sydney, Australia, 8 12 February 2006; pp Li, Z.; Yuan, Y.; Li, H.; Ou, J.; Huo, X. Two-step method for the determination the differential code biases COMPASS satellites. J. Geod. 2012, 86, [CrossRef] 18. Feltens, J. The activities the Ionosphere Working Group the International GPS Service (IGS). GPS Solut. 2003, 7, [CrossRef] 19. Hernández-Pajares, M.; Juan, J.M.; Sanz, J.; Orus, R.; Garcia-Rigo, A.; Feltens, J.; Komjathy, A.; Schaer, S.C.; Krankowski, A. The IGS VTEC maps: A reliable source ionospheric information since J. Geod. 2009, 83, [CrossRef] 20. Montenbruck, O.S.P.; Hauschild, A. IGS-MGEX: Preparing the ground for multi-constellation GNSS science. Espace 2014, 9, Dow, J.M.; Neilan, R.E.; Rizos, C. The International GNSS Service in a changing lscape Global Navigation Satellite Systems. J. Geod. 2009, 83, [CrossRef] 22. Montenbruck, O.; Hauschild, A.; Steigenberger, P Differential code bias estimation using multi-gnss observations global ionosphere maps. Navigation 2014, 61, [CrossRef] 23. Montenbruck, O.; Steigenberger, P.; Hauschild, A. Broadcast versus precise ephemerides: A multi-gnss perspective. GPS Solut. 2014, 19, [CrossRef] 24. Schaer, S. Overview GNSS biases. In Proceedings the Workshop on GNSS Biases, Bern, Switzerl, January Cai, C.; Gao, Y.; Pan, L.Z.; Zhu, J.J. Precise point positioning with quad-constellations: GPS, BeiDou, GLONASS Galileo. Adv. Space Res. 2015, 56, [CrossRef] 26. Boehm, J.; Heinkelmann, R.; Schuh, H. Short Note: A global model pressure temperature for geodetic applications. J. Geod. 2007, 81, [CrossRef] 27. CSNO. BeiDou Navigation Satellite System Signal in Space Interface Control Document Open Service Signal; version 2.0; China Satellite Navigation Office: Beijing, China, Nava, B.; Coïsson, P.; Radicella, S.M. A new version the NeQuick ionosphere electron density model. J. Atmos. Sol. Terr. Phys. 2008, 70, [CrossRef] 29. Petit, G.; Luzum, B. IERS Conventions 2010; Bureau International des Poids et Mesures: Sevres, France, Wu, J.T.; Wu, S.C.; Hajj, G.A.; Bertiger, W.I.; Lichten, S.M. Effects antenna orienation on GPS carrier phase. In Proceedings the AAS/AIAA Astrodynamics Conference, Durango, CO, USA, August 1992; pp Rizos, C.; Montenbruck, O.; Weber, R.; Weber, G.; Neilan, R.; Hugentobler, U. The IGS MGEX experiment as a milestone for a comprehensive multi-gnss service. In Proceedings the ION PNT Meeting, Honolulu, HI, USA, April Ge, Y.; Sun, B.; Wang, S.; Shen, P.; Liu, J. Convergence Time Analysis Multi-constellation Precise Point Positioning Based on igmas Products. In China Satellite Navigation Conference (CSNC) 2016 Proceedings: Volume III; Springer: Singapore, 2016; Volume 390, pp by the authors. Licensee MDPI, Basel, Switzerl. This article is an open access article distributed under the terms conditions the Creative Commons Attribution (CC BY) license (

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