GNSS-based Flight Inspection Systems

Similar documents
Standalone GPS-Based Flight Inspection System

WAAS-Based Flight Inspection System

WAAS-Aided Flight Inspection Truth System

Prototyping Advanced RAIM for Vertical Guidance

Satellite-Based Augmentation System (SBAS) Integrity Services

GBAS FOR ATCO. June 2017

SATELLITE BASED AUGMENTATION SYSTEM (SBAS) FOR AUSTRALIA

Methodology and Case Studies of Signal-in-Space Error Calculation Top-down Meets Bottom-up

The Wide Area Augmentation System

Analysis of a Three-Frequency GPS/WAAS Receiver to Land an Airplane

One Source for Positioning Success

CONSIDERATIONS FOR GNSS MEASUREMENTS

Aviation Benefits of GNSS Augmentation

Proceedings of Al-Azhar Engineering 7 th International Conference Cairo, April 7-10, 2003.

Challenges and Solutions for GPS Receiver Test

Integrity of Satellite Navigation in the Arctic

Lecture-1 CHAPTER 2 INTRODUCTION TO GPS

Near Term Improvements to WAAS Availability

FieldGenius Technical Notes GPS Terminology

Een GPS naderingshulpmiddel voor de kleine luchtvaart

Methodology and Case Studies of Signal-in-Space Error Calculation

Several ground-based augmentation system (GBAS) Galileo E1 and E5a Performance

GEO 428: DEMs from GPS, Imagery, & Lidar Tuesday, September 11

Recent Progress on Aviation Integrity

Challenges and Methods for Integrity Assurance in Future GNSS

Vertical Guidance Performance Analysis of the L1-L5 Dual-Frequency GPS/WAAS User Avionics Sensor

ICAO policy on GNSS, GNSS SARPs and global GNSS developments. Jim Nagle Chief, Communication, Navigation and Surveillance Section ICAO

High Precision GNSS in Automotive

ARAIM: Utilization of Modernized GNSS for Aircraft-Based Navigation Integrity

SENSORS SESSION. Operational GNSS Integrity. By Arne Rinnan, Nina Gundersen, Marit E. Sigmond, Jan K. Nilsen

Validation of Multiple Hypothesis RAIM Algorithm Using Dual-frequency GNSS Signals

Radio Navigation Aids Flight Test Seminar

Introduction to Advanced RAIM. Juan Blanch, Stanford University July 26, 2016

On Location at Stanford University

The experimental evaluation of the EGNOS safety-of-life services for railway signalling

INTEGRITY AND CONTINUITY ANALYSIS FROM GPS JANUARY TO MARCH 2017 QUARTERLY REPORT

SBAS solution GCC, Yemen and Iraq System baseline and performance

IMPLEMENTATION OF GNSS BASED SERVICES

The Global Positioning System

Demonstrations of Multi-Constellation Advanced RAIM for Vertical Guidance using GPS and GLONASS Signals

INTEGRITY AND CONTINUITY ANALYSIS FROM GPS JULY TO SEPTEMBER 2016 QUARTERLY REPORT

GPS Milestones, cont. GPS Milestones. The Global Positioning Sytem, Part 1 10/10/2017. M. Helper, GEO 327G/386G, UT Austin 1. US GPS Facts of Note

GNSS for Landing Systems and Carrier Smoothing Techniques Christoph Günther, Patrick Henkel

Space Weather influence on satellite based navigation and precise positioning

GPS/WAAS Program Update

Annex 10 Aeronautical Communications

Distributed integrity monitoring of differential GPS corrections

Unmanned Air Systems. Naval Unmanned Combat. Precision Navigation for Critical Operations. DEFENSE Precision Navigation

Real-Time Data Flow and Product Generation for GNSS. Jet Propulsion Laboratory. California Institute of Technology. Natural Resources Canada

Interoperability between EGNOS and WAAS: Tests Using ESTB and NSTB

Precise Positioning with NovAtel CORRECT Including Performance Analysis

On Location at Stanford University

EGNOS status and performance in the context of marine navigation requirements

Understanding GPS: Principles and Applications Second Edition

GNSS & Coordinate Systems

Fault Detection and Elimination for Galileo-GPS Vertical Guidance

GNSS Solutions: Do GNSS augmentation systems certified for aviation use,

SPAN Technology System Characteristics and Performance

GPS-Aided INS Datasheet Rev. 2.6

Special Committee SC-159 Navigation Equipment Using the Global Navigation Satellite System (GNSS) (Version 13)

Interoperation and Integration of Satellite Based Augmentation Systems

Nigerian Communications Satellite Ltd. (NIGCOMSAT)

Ground Based Augmentation Systems (GBAS) Introduction

Aircraft Landing Systems Based on GPS & Galileo

Global Navigation Satellite System (GNSS) GPS Serves Over 400 Million Users Today. GPS is used throughout our society

Korean Wide Area Differential Global Positioning System Development Status and Preliminary Test Results

Generation of Consistent GNSS SSR Corrections

FAA GNSS Programs & GPS Evolutionary Architecture Study (GEAS) Status

Special Committee SC-159 Navigation Equipment Using the Global Navigation Satellite System (GNSS) (Version 11)

The Global Positioning Sytem II 10/19/2017

Resilient PNT: From PNT-Unit concept to first realization

Development of a GAST-D ground subsystem prototype and its performance evaluation with a long term-data set

Clock Synchronization of Pseudolite Using Time Transfer Technique Based on GPS Code Measurement

ENGI 3703 Surveying and Geomatics

Phase Center Calibration and Multipath Test Results of a Digital Beam-Steered Antenna Array

The Global Positioning System II Field Experiments

The added value of new GNSS to monitor the ionosphere

SSR Technology for Scalable Real-Time GNSS Applications

Assessment of EGNOS performance in worst ionosphere conditions (October and November 2003 storm)

ORBITAL NAVIGATION SYSTEMS PRESENT AND FUTURE TENDS

AREA NAVIGATION SYSTEMS

GPS-Aided INS Datasheet Rev. 2.3

ELEVENTH AIR NAVIGATION CONFERENCE. Montreal, 22 September to 3 October 2003 INTEGRATION OF GNSS AND INERTIAL NAVIGATION SYSTEMS

Enabling the LAAS Differentially Corrected Positioning Service (DCPS): Design and Requirements Alternatives

The topic we are going to see in this unit, the global positioning system, is not directly related with the computer networks we use everyday, but it

A Differential Reference Station Algorithm For Modular Decentralized GPS/GNSS Master Station Architecture. Oct. 28, 2010

31st Annual Precise Time and Time Interval (PTTI) Meeting

Receiver Technology CRESCENT OEM WHITE PAPER AMY DEWIS JENNIFER COLPITTS

ELEVENTH AIR NAVIGATION CONFERENCE. Montreal, 22 September to 3 October 2003 TOOLS AND FUNCTIONS FOR GNSS RAIM/FDE AVAILABILITY DETERMINATION

European Geostationary Navigation Overlay Service (EGNOS) Capability on Sirius 5 Satellite for SES

GPS SIGNAL INTEGRITY DEPENDENCIES ON ATOMIC CLOCKS *

Protection Augmentation Toughness and Alternatives of GNSS. Melaha 2016 Concord Al-Salam Hotel Cairo, April 25,2016 Refaat Rashad

NovAtel s. Performance Analysis October Abstract. SPAN on OEM6. SPAN on OEM6. Enhancements

ARAIM Fault Detection and Exclusion

GNSS Technology Update

Webinar. 9 things you should know about centimeter-level GNSS accuracy

GPS and Recent Alternatives for Localisation. Dr. Thierry Peynot Australian Centre for Field Robotics The University of Sydney

Including GNSS Based Heading in Inertial Aided GNSS DP Reference System

Weighted RAIM for Precision Approach

A study of the ionospheric effect on GBAS (Ground-Based Augmentation System) using the nation-wide GPS network data in Japan

Transcription:

GNSS-based Flight Inspection Systems Euiho Kim, Todd Walter, and J. David Powell Department of Aeronautics and Astronautics Stanford University Stanford, CA 94305, USA Abstract This paper presents novel Global Navigation Satellite System (GNSS)-based flight inspection systems (FIS) that outperform current flight inspection systems in terms of cost, efficiency, and integrity. The GNSS-based FIS are the WAAS-based FIS and the stand-alone GPS-based FIS. These GNSS-based FIS are onboard and do not use an INS or external reference stations at the airport. Instead, the WAAS-based FIS requires raw GPS/WAAS measurements, and the stand-alone GPS requires only raw GPS measurements. Both systems require a radar altimeter and a TeleVision Positioning System (TVPS) for CAT II and III calibration; however, no TVPS is required for CAT I ILS calibration in the WAAS-based FIS. The stand-alone GPS-based FIS always requires both the radar altimeter and TVPS. These two systems are very similar and basically have the same positioning algorithm. Using the specialized positioning algorithm called Time-Differenced Precise Relative Positioning (T-D PRP) with those sensors, the two GNSS-based FIS meet the FIS accuracy requirements for ILS calibration. They do this efficiently because the airplane does not need to fly level over the entire runway nor does a ground unit need to be installed. The GNSS-based FIS also have several integrity features. Secure satellite health status is checked by using broadcast WAAS integrity messages in the WAAS-based FIS or by using specialized Receiver Autonomous Integrity Monitoring (RAIM) for a FIS called FIS-RAIM in the stand-alone GPS-based FIS. The T-D PRP has a built-in protection against abnormal ionospheric effects. In addition, the WAAS-based FIS can validate the integrity of the measurements from a radar altimeter and a TVPS using WAAS accuracy. These integrity features ensure sound position solutions of the two GNSS-based FIS. Therefore, the GNSS-based FIS provide high efficiency and firm integrity with low cost. The difference between the two GNSS-based FIS is that the WAAS-based FIS has better integrity features but can only be used where WAAS or other SBAS is available. On the other hand, the stand-alone GPS-based FIS can be used worldwide. I. INTRODUCTION The current automated flight inspections systems (AFIS) are the Inertial-based AFIS and Differential GPS (DGPS)-based AFIS. The Inertial-based AFIS is an onboard system that has a navigation grade INS, GPS, a barometric altimeter, a radar altimeter, and a TeleVision Positioning System (TVPS). In this system, the fusion of a navigation grade INS, GPS, and a barometric altimeter provides high quality velocity during approach. A radar altimeter and a TVPS provide accurate position fixes at the runway threshold and departure end. Those position fixes are used to refine the velocity during approach by calibrating various INS biases. Then, the flight path during the flight inspection approach is estimated by integrating the velocity backward from the position fix at the runway threshold. On the other hand, the DGPS-based AFIS uses a Real-Time Kinematic (RTK) DGPS system that can provide centimeter level accuracy. An RTK system uses differential GPS techniques with two receivers and utilizes GPS carrier phase measurements as ranging sources. This system requires an installation of a local reference receiver near a runway before the flight inspection is carried out. These two different positioning schemes result in substantial differences in the tradeoffs between cost and efficiency of the current flight inspection systems. The Inertial-based AFIS is much more expensive than the DGPS-based AFIS mainly due to the use of a navigation grade INS. On the other hand, the flight inspection procedure with the DGPS-based AFIS takes significantly more time than the Inertial-based AFIS because a flight inspection aircraft first lands on a runway to install a local reference receiver to begin flight inspection. A civil aviation administration (CAA) of a country typically chooses either one of the systems that better fits its own preference. For example, the Federal Aviation Administration (FAA) mainly uses the Euiho Kim is a Ph.D. candidate at Stanford University; atomstan@stanford.edu Dr. Todd Walter is a senior research engineer at Stanford University; Twalter@stanford.edu Dr. J.D. Powell is a professor, emeritus, at Stanford University; JDPowell@stanford.edu

Inertial-based AFIS due to the large volume of flight inspection required. Previously, from an effort to replace the Inertial-based AFIS with a lower cost system, the WAAS (SBAS)-aided Flight Inspection System (WAAS-aided FIS) was proposed [1]. This system uses a low (tactical or less) grade INS, a certified commercially available WAAS receiver, a radar altimeter, and a TeleVision Positioning System (TVPS). The advantages of this system are lower cost and better efficiency than the current AFIS. However, the accuracy of this system is marginal near the runway but sufficient to the flight inspection system accuracy requirements far from the runway. The WAAS-aided FIS has some vulnerability to possible accuracy degradation in rare events (e.g., a sharp ionospheric gradient or severe multipath) because it is constrained to only utilize standard positioning outputs from the WAAS receiver. Through continuing efforts to replace the Inertial-based AFIS with a lower cost system, we present two novel Global Navigation Satellite System (GNSS)-based flight inspection systems (FIS): WAAS (SBAS)-based FIS [2] and stand-alone GPS-based FIS [3]. These systems have sufficient accuracy to meet the FIS accuracy requirement up to CAT III ILS calibration with better performance than the current flight inspection systems in terms of cost, efficiency, and integrity. These two GNSS-based systems are very similar. However, the WAAS-based FIS has better integrity features, but it can only be used where WAAS or SBAS is available in the world. On the other hand, the stand-alone GPS-based FIS can be used worldwide. This paper is organized as follows. The system architectures of the WAAS-based FIS and the stand-alone GPS-based FIS are briefly discussed including positioning algorithm and integrity features. Then, the performance of the GNSS-based FIS is evaluated with flight test data. Lastly, conclusions follow. II. GNSS-BASED FLIGHT INSPECTION SYSTEMS Global Navigation Satellite System (GNSS) is a generic term indicating various satellite navigation systems. As of 2007, the global satellite-based navigation systems are GPS, GLONASS, Galileo, and more recently Compass of China. Among the systems, GPS is currently the only fully operational system. There are also several space-based augmentation systems (SBAS) such as Wide Area Augmentation System (WAAS) in the U.S., European Geostationary Navigation Overlay Service (EGNOS) in the European Union, Multi-functional Satellite Augmentation System (MSAS) in Japan, and GPS and GEO Augmented Navigation (GAGAN) in India. Korea and Brazil are investigating SBAS, also. At this time, WAAS is the only fully operational SBAS, but EGNOS and MSAS will be complete in one or two years. GPS and WAAS are undergoing modernization planning in order to meet future civil and military needs. Since GPS and WAAS are currently available, they are used in this research; however, the concepts apply to any of the GNSS or SBAS now being developed. In this section, the highlights of the WAAS-based FIS and the stand-alone GPS-based FIS are introduced. More technical details about the WAAS-based FIS and the stand-alone GPS-based FIS can be found in [2] and [3], respectively. In these systems, the same kinds of radar altimeter and TVPS being used in the current Inertial-based AFIS are used in the GNSS-based FIS. The 95% accuracy of the radar altimeter is better than 15 cm [4]. The 95% accuracy of the TVPS is better than 15 cm in cross-track and 30 cm in along-track [5]. A. WAAS-based Flight Inspection System The Wide Area Augmentation System (WAAS) is an augmentation system of Global Positioning System (GPS) in the U.S and was developed by the FAA to serve various phases of flight operation as a primary means of navigation. As of 2007, WAAS can guide an airplane down to within 200 ft above an airport s runway surface. An extensive overview of WAAS can be found in [6] and [7]. The current WAAS 95% accuracy is better than 0.935 meters in the horizontal and 1.289 meters in the vertical [8], which does not meet the ILS calibration accuracy requirements. Although WAAS cannot be directly used for the ILS calibration, WAAS still has useful features because it broadcasts accurate correction messages for GPS errors and integrity messages. The error

corrections include satellite clock-ephemeris and ionospheric delay. The integrity messages include satellite anomalies, severe ionospheric disturbances, and the quality of the error corrections. These features play a very important role in helping the WAAS-based FIS have sound position solutions and firm integrity. The WAAS-based FIS is a system that has a single frequency WAAS receiver, a radar altimeter, a TVPS, and a computer. This integrated system is optimally designed for the ILS calibration problem in terms of accuracy, cost, efficiency, and integrity. Figure 1Figure 1 illustrates the overall algorithm of the WAAS-based FIS. During approach, WAAS position and raw GPS/WAAS measurements are collected. The raw GPS/WAAS measurements include ephemeris, L1 code and carrier phase measurements, and WAAS messages. The ephemeris parameters provide GPS satellite locations at a specific time. L1 code and carrier phase measurements provide range information between a user to satellites. The WAAS messages provide GPS error corrections and satellite health. Over a runway threshold, the radar altimeter, corrected for roll and pitch angles, measures the vertical distance between the airplane and the runway threshold. At that point, the TVPS measures the cross-track and the along-track deviations of the airplane from the centerline and the threshold mark of the runway by using its camera images for CAT II and III ILS calibration. However, WAAS can substitute for a TVPS in the WAAS-based FIS for CAT I ILS calibration. Since the position of the threshold is accurately surveyed, the radar altimeter and the TVPS provide an accurate instant 3D position of the airplane over the threshold called a reference position. Again, the reference position can be given from a radar altimeter and WAAS cross-track position in the WAAS-based FIS for CAT I ILS calibration. A specialized positioning algorithm, Time-Differenced Precise Relative Positioning (T-D PRP) method, uses the reference position and the raw GPS/WAAS measurements to compute precise relative positions. The T-D PRP utilizes the difference of GPS carrier phase measurements over a time interval as ranging sources. It removes the satellite clock-ephemeris errors by using broadcast WAAS correction and the ionospheric effects by using the first order linear regression on the time series of code minus carrier phase measurements during approach. Then, the estimated flight trajectory during approach is obtained by adding the relative positions to the reference position. The positioning performance of the WAAS-based FIS with flight test data will be shown in the next section. Approach Runway Threshold WAAS Position Raw GPS/WAAS carrier phase meas. pseudo-range ephemeris WAAS messages RA, TVPS Approach finishes Satellite Exclusion Tests Sat 1 Sat 2 Y Ref. Position at threshold Fast-Clock Correction Filtering (MV) T-D PRP Estimated True Trajectory Ref. Position Validation Figure 1: System architecture of the WAAS-based FIS There are two integrity features for the soundness of the estimated flight trajectory: satellite exclusion tests and validation of the reference position from the radar altimeter and the TVPS. First, satellite exclusion tests are implemented to discard a satellite that should not be used in the T-D PRP. These exclusion tests have the following checks: unhealthy satellite status reported from GPS/WAAS, discontinuity in carrier phase measurements called cycle-slip, severe nonlinearity of ionospheric delay, and satellite outages. If any of these items is reported, the corresponding satellite is excluded in computing position solutions. Second, the integrity of a reference position from a radar altimeter and a TVPS is checked by using both WAAS position during approach and the precise relative position from the T-D PRP. Even though this validation test is limited to the level of WAAS accuracy, it is useful when a radar altimeter or a TVPS introduces an abnormally large error. These features of the WAAS-based FIS provide high performance in terms of accuracy, cost, efficiency, and integrity by taking advantages of WAAS and the near real-time nature of flight inspection. The WAAS-based FIS can be used Y

where WAAS (or other SBAS) is available. It should be also noted that a certified WAAS receiver may require modification to allow for the raw GPS/WAAS calculations to be available as an output quantity. Again, more technical details of the WAAS-based FIS can be further found in [2]. B. Stand-alone GPS-based FIS The stand-alone GPS-based FIS has a single frequency GPS receiver, a radar altimeter, a TVPS, and a computer. Figure Figure 3 illustrates the overall algorithm of the stand-alone GPS-based FIS. The overall algorithm of the stand-alone GPS-based FIS is very similar to the WAAS-based FIS. This system also uses the T-D PRP as a positioning algorithm except that the T-D PRP only utilizes raw GPS measurements. However, integrity features are different. First, instead of using the broadcast satellite health status from WAAS, the FIS-RAIM [3] is used to detect possible satellite failures in the stand-alone GPS-based FIS. The FIS-RAIM was designed to detect a satellite failure that may cause the violation of the required FIS accuracy requirements up to CAT I ILS calibration. Second, unfortunately, the stand-alone GPS-based FIS is not able to check the integrity of a reference position provided from a radar altimeter and a TVPS because GPS accuracy is insufficient to perform that. Overall, the stand-alone GPS-based FIS is a very similar system to the WAAS-based FIS and provides almost the same accuracy. Its integrity features are less secure than the WAAS-based FIS, but the stand-alone GPS-based FIS is available worldwide. More technical details of the stand-alone GPS-based FIS can be found in [3]. III. EVALUATION OF GNSS-BASED FIS USING FLIGHT TEST DATA The WAAS-based FIS and the stand-alone GPS-based FIS are evaluated with flight-test data taken on Oct 30~31, 2007 at Oklahoma City in collaboration with the FAA. The total number of ILS approaches used is 23. In this test, GPS measurements and WAAS messages were collected by using an FAA certified Garmin 480 receiver with minor changes that allowed access to the raw internal measurements. The FAA Inertial-based AFIS collected RTK DGPS positions. Unfortunately, the radar altimeter and TVPS were not used because of hardware limitations at that time. Therefore, a reference position for each approach was provided from the RTK DGPS positions in this evaluation. Approach Runway Threshold GPS measurements carrier pseudo-range ephemeris RA, TVPS Approach finishes Satellite Exclusion Tests Sat 1 Sat 2 Ref. Position at threshold T-D PRP Estimated True Trajectory FIS-RAIM Figure 2: System architecture of the stand-alone GPS-based FIS The position error of the GNSS-based FIS is the sum of two parts: T-D PRP error and reference position error. These two errors are not absolutely independent. The magnitude of a reference position error effects the T-D PRP errors, however, this effect is so small in the short time of approach that it can be neglected. Now, let us first look at the T-D PRP errors. Error! Reference source not found.figures 3 and 4 show the T-D PRP errors of the WAAS-based FIS in the cross-track and in the vertical, respectively. Figures 5 and 6 show the T-D PRP errors of the stand-alone GPS-based FIS. The two pairs of straight lines are the FAA flight inspection system accuracy requirements for CAT I and CAT II/III ILS. For the computation of the cross-track requirements, the runway length is assumed to be 2700 meters. Y

Cross-Track Error(m) 3 2 1 0-1 -2 CAT I CAT II&III CAT I CAT II & III -3 0 2000 4000 6000 8000 10000 12000 Range wrt. Threshold (m) Figure 3: T-D PRP errors of the WAAS-based FIS in the cross-track Figure 6: T-D PRP errors of the stand-alone GPS-based FIS in the vertical CAT I CAT II&III Figure 4: T-D PRP errors of the WAAS-based FIS in the vertical Cross-Track Error(m) 3 2 1 0-1 -2 CAT I CAT II & III -3 0 2000 4000 6000 8000 10000 12000 Range wrt. Threshold (m) Figure 5: T-D PRP errors of the stand-alone GPS-based FIS in the cross-track Although WAAS provides better satellite clock-ephemeris corrections, the T-D PRP error of the WAAS-based FIS looks almost identical to the stand-alone GPS-based FIS. The reason for this is that the satellite clock-ephemeris residual correction errors of WAAS and stand-alone GPS errors are highly correlated over time. Therefore, when the T-D PRP takes the time difference of carrier measurements, the satellite clock-ephemeris residual correction errors are effectively cancelled out. As a result, there is no real difference in the T-D PRP errors for the WAAS-based FIS and the stand-alone GPS-based FIS. Based on the T-D PRP error characteristic that slowly grows over time, the total errors of the WAAS-based FIS and the stand-alone GPS-based FIS are evaluated at the critical regions. The critical regions are defined as the range from the runway threshold where the total errors most likely violate the accuracy requirements. As can be seen from the previous figures, the critical regions for CAT II and III ILS are around 2200 meters and 2000 meters in the vertical and horizontal directions, respectively. The critical regions for CAT I ILS are around 800 meters and the threshold in the vertical and in the cross-track, respectively. The total errors at those critical regions are obtained by combining the T-D PRP error statistics at the critical regions with the accuracy of a radar altimeter and a TVPS with an RSS computation. The total cross-track error of the WAAS-based FIS for CAT I ILS is obtained by

using WAAS horizontal accuracy instead of the accuracy of a TVPS. Table 1 summarizes the 95% accuracy of the GNSS-based FIS and the FIS accuracy requirements at the critical regions. For the stand-alone GPS-based FIS, CAT II and III ILS accuracy requirements are used. The vertical accuracy of the WAAS-based FIS for CAT I ILS is evaluated at around 2200 meters instead of at around 800 meters because the performance of the WAAS-based FIS already meets the tighter requirements for CAT II and III ILS. Therefore, the WAAS-based FIS and stand-alone GPS-based FIS accuracies given from the flight data set sufficiently meet the FIS accuracy requirements at the critical regions. Table 1: WAAS-based FIS and stand-alone GPS-based FIS accuracies at the critical regions (* RA is radar altimeter, TVPS is the TV positioning system) INS is no longer required. The WAAS-based FIS for CAT I ILS costs even less because a TVPS is also not required. The analysis of the efficiency improvement is described in Figure 7. In this figure, it is assumed that the approach starts at 10 NM away from the runway threshold and the length of the runway is about 1.5 NM (2700 m). A simple 2D semi circle trajectory is taken in this analysis. Based on these assumptions, the GNSS-based FIS has a 20 NM straight flight trajectory plus a turning trajectory at the two ends. On the other hand, the Inertial-based FIS has a length of 23 NM straight flight trajectory plus the turning trajectories. Assuming the turning trajectory is 2 NM at each end, a flight inspection aircraft with the GNSS-based FIS will achieve 11% better efficiency over the Inertial-based AFIS when the shorter pattern is acceptable to ATC. Required components* Cross-track errors (m) Cross-track Requirements (m) Vertical errors (m) WAAS-base d FIS for CAT II/III ILS WAAS-base d FIS for CAT I ILS Stand-alon e GPS-based FIS GPS, RA, TVPS WAAS, RA., WAAS, RA TVPS 0.17 0.94 0.17 0.6 1.2 0.6 0.18 0.18 0.18 1.5 NM Inertial-based AFIS flight trajectory GNSS-based FIS flight trajectory runway 10 NM Figure 7: Comparison of flight trajectory using the GNSS-based FIS and the Inertial-based FIS Vertical Requirements (m) 0.3 0.9 0.3 IV. CONCLUSIONS Two GNSS-based FIS are introduced in this paper. These systems are the WAAS-based FIS and the stand-alone GPS-based FIS. The system architectures and algorithms were briefly discussed. The performance of the two proposed systems was evaluated with flight test data and showed that these systems can meet the flight inspection system accuracy for CAT III ILS calibration requirements. The benefits of the GNSS-based FIS over the current flight inspection systems are lower cost, higher efficiency, and firm integrity. The cost reduction is especially significant for the Inertial-based AFIS because a navigation grade The integrity features of the GNSS-based FIS are satellite health, ionospheric disturbances, and reference positions. These features give great confidence in computed positions during flight inspection. In the near future, when the currently developing SBAS are completed, the WAAS (SBAS)-based FIS will be possible in other places including Europe, Japan, India, Brazil, and Korea. The performance of the two GNSS-based FIS will also be strengthened due to additional civil signals and more satellites from Galileo, GLONASS, Compass, and modernized GPS. Therefore, the GNSS-based FIS introduced in this paper will have better performance and better worldwide coverage as GNSS evolves.

ACKNOWLEDGMENT The authors gratefully acknowledge the support of the FAA flight inspection division (AVN) and extensive help from Dr. Uri Peled in the earlier stages of the research. REFERENCES [1] E. Kim, U. Peled, T. Walter, and J. D. Powell, WAAS-aided Flight Inspection Truth System, Proceedings of IFIS 2006, Toulouse, France. [2] E. Kim, T. Walter, and J. D. Powell, WAAS-based Flight Inspection System, AIAA Journal of Aircraft, Vol., No., 2007 [3] E. Kim, T. Walter, and J. D. Powell, Standalone GPS-based Flight Inspection System, Proceedings of TimeNav 07, Geneva, Switzerland [4] U. Peled, Radar Altimeter Evaluation-Refined Runway Data, Internal report, Stanford, California, 2005 [5] Television Positioning System, NXT. Flight Inspection Systems, Available: http://www.nxt-afis.com/television_positioning_syste m.html [6] P. Enge, T. Walter, S. Pullen, C. Kee, Y.C. Chao, and Y.J. Tsai, Wide Area Augmentation of the Global Positioning System, Proceedings of the IEEE, Vol. 84, No. 8, 1996 [7] T. Walter and P. Enge, The Wide-Area Augmentation System, EGNOS-The European Geostationary Navigation Overlay System-A cornerstone of Galileo, edited by J. ventura-traveset and D. Flament, ESA SP-1303, 2006, pp. 395-411 [8] NSTB/WAAS T&E Team, Wide-Area Augmentation System Performance Analysis Report, FAA William J. Hughes Technical Center, Atlantic City International Airport, NJ (updated reports issued every quarter). URL: http://www.nstb.tc.faa.gov/archivelist.html

Euiho Kim received his B.S. in Aerospace Engineering in 2001 from Iowa State University. Then, he finished M.S. in the Aeronautics and Astronautics Department at Stanford University in 2003 and finished Ph.D. in the same department in 2008. He is currently working for Selex Sistemi Integrati, overland park, Kansas, as a satellite navigation engineer. His current work focuses on the development of GBAS/LAAS ground system. His general research areas are precise positioning using GPS/WAAS, flight inspection truth systems, and GBAS/LAAS.