TRIPLE-FREQUENCY IONOSPHERE-FREE PHASE COMBINATIONS FOR AMBIGUITY RESOLUTION

Size: px
Start display at page:

Download "TRIPLE-FREQUENCY IONOSPHERE-FREE PHASE COMBINATIONS FOR AMBIGUITY RESOLUTION"

Transcription

1 TRIPL-FRQCY IOOSPHR-FR PHAS COMBIATIOS FOR AMBIGITY RSOLTIO D. Odijk, P.J.G. Teunissen and C.C.J.M. Tiberius Absrac Linear combinaions of he carrier phase daa which are independen of he ionospheric delays are referred o as ionosphere-free linear phase combinaions. In he dual frequency case here exiss only one such combinaion which a he same ime ensures he ineger esimabiliy of he ambiguiies. In he riple-frequency case here is a whole class of such linear combinaions. We idenify his class of linear combinaions and deermine heir phase-only ambiguiy resoluion performance. The advanage of using carrier phase-only daa is ha ambiguiy resoluion will be freed from he poenial presence of pseudorange mulipah. We also idenify an imporan pifall when using ionosphere-free linear phase combinaions. I is shown ha no all such riple-frequency combinaions permi a paramerizaion ha reains he ineger naure of he ambiguiies. Resuls will be shown for riple-frequency Galileo as well as for modernized GPS. 1 Inroducion The ionosphere-free linear combinaion of L1 and L2 phase observables is ofen used in precise relaive GPS posiioning (cm accuracy or beer) o process daa of long baselines for which he (relaive) ionospheric delays may no be negleced, and for which no a priori ionospheric informaion is available. In he lieraure i is ofen saed ha his ionosphere-free phase combinaion is no suiable for fas GPS applicaions, claiming ha he crucial ineger propery of he doubledifference (DD) phase ambiguiies is los when forming he combinaion, see e.g. [Hofmann- Wellenhof e al., 2001]. Alhough i is rue ha no all he original L1 and L2 ambiguiies can be resolved, in his aricle i is shown ha for he ionosphere-free combinaion i is possible o resolve a special ineger linear combinaion of he L1 and L2 DD ambiguiies. Also in he siuaion when phase observables a more han wo frequencies are available, e.g. wih a modernized GPS or Galileo sysem, i is possible o esimae ineger ambiguiy combinaions, bu since more han one ionosphere-free combinaion can be made, in ha siuaion i becomes possible o esimae a whole class of ineger combinaions. In his conribuion i is by means of planning compuaions shown which of he fuure GPS and Galileo ionosphere-free combinaions are opimal for ambiguiy resoluion. In addiion, he effec of ambiguiy resoluion on he precision of he coordinae parameers is also discussed. I should be emphasized ha in his conribuion only phase observaions are used and ha he less precise code or pseudo-range daa are no included. This immediaely implies ha he ionosphere-free combinaions are no suiable for he ulra-fas insananeous or single-epoch applicaions (a leas wo observaion epochs are required in case of phase-only daa). However, ambiguiy resoluion migh sill be beneficial in order o reduce he (long) ime span, which would oherwise be necessary o obain precise baseline coordinaes based on he floa ambiguiies. Deparmen of Mahemaical Geodesy and Posiioning, Delf niversiy of Technology, The eherlands, d.odijk@geo.udelf.nl 1

2 2 Ionosphere-free phase combinaions 2.1 The dual-frequency case Suppose we have phase observables available a wo frequencies, denoed as Φ f and Φ g, in unis of meers raher han cycles. In double-difference (DD) mode, heir observaion equaions can in a compac way be wrien as: { {Φf } = ρ + λ f a f ı f {Φ g } = ρ + λ g a g ı g (1) In hese equaions { } denoes he mahemaical expecaion, ρ he DD receiver-saellie range, λ f and λ g he wavelenghs, a f and a g he ineger DD phase ambiguiies, and ı f and ı g he ionospheric delays. oe ha when he observaion equaions above are linearized, he (baseline) coordinaes, which are usually he parameers of ineres, can be solved. The ionospheric delay is dispersive, which means ha he delay of Φ g can be relaed o he delay of Φ f via he known raio of wavelenghs of he wo observables: ı g = (λ 2 g/λ 2 f )ı f (2) When he wo observables are ordered such ha λ g > λ f, he wavelengh raio can be denoed as: λ g λ f = n, > n (3) where boh and n are (posiive) inegers, since he wavelenghs are derived from frequencies ha are boh derived from one nominal frequency. sing he wavelengh raio, he ionosphere-free linear combinaion of he wo observables is obained as: {Φ fg } = 2 2 n 2 {Φ f } n2 2 n {Φ 2 g } = ρ n λ 2 f a f n2 2 n λ 2 g a g ( 2 n n 2 2 n 2 n 2 } {{ } 0 ) (4) ı f where he coefficiens are chosen such, ha in he ransformed observable he range ρ appears in he same way as in he original phase observaion equaions. Moreover, in his ransformed observaion equaion i can be seen ha he ionospheric delays are eliminaed, and ha a combined ambiguiy erm remains, which does no seem o be ineger-valued. However, using λ g = n λ f wih and n inegers, i is possible o rewrie he ambiguiy erm, such ha i has he ineger propery: {Φ fg } = ρ + 2 n 2 λ f } {{ } λ fg (a f na g ), a fg Z (5) }{{} a fg where λ fg denoes he arificial wavelengh and a fg he ineger ambiguiy of he ionosphere-free combinaion. So wih he ionosphere-free phase combinaion i is possible o esimae ineger ambiguiies, in conras o wha is ofen saed in GPS lieraure. A well-known consequence of aking he ionosphere-free combinaion is ha he noise of he ionosphere-free observable is increased compared o he noise of he original phase observaions. When i is assumed ha he wo original phase observables are uncorrelaed and have he same precision, σ Φf = σ Φg = σ Φ (in DD mode), he variance of he ionosphere-free combinaion is compued as follows: D{Φ fg } = 4 + n 4 ( 2 n 2 ) 2 σ2 Φ (6) where D{ } denoes he mahemaical dispersion. 2

3 There is one issue abou he wavelengh raio in equaion (3) which needs o be addressed. I is ofen possible o divide numeraor and denominaor n by he same ineger, in order o obain smaller enries. For ambiguiy resoluion i is very imporan ha hese smaller enries are indeed aken for and n, since his resuls in a longer arificial wavelengh. In fac, in order o obain he smalles numeraor and denominaor possible, and n should be divided by heir greaes common divisor. This can be explained as follows. Denoing his greaes common divisor as c, we may wrie for he numeraor and he denominaor of he wavelengh raio = c c and n = c n c, where c 1, c. Insering his in he equaions (5) and (6), resuls in he following model for he ionosphere-free combinaion: { c {Φfg } = ρ + c λ f (c c a f c n c a g ) = ρ + c λ f ( c a f n c a g ) D{Φ fg } = c 2 c n2 c c 2 2 c c2 n 2 c c 4 4 c +c4 n 4 c (c 2 2 c c2 n 2 c )2 σ 2 Φ = 2 c n2 c 4 c +n4 c ( 2 c n2 c )2 σ 2 Φ So insead of he ineger ambiguiy combinaion a f na g he combinaion c a f n c a g is resolved, which is also an ineger, since c and n c are inegers as well. The (arificial) wavelengh of he firs combinaion is λ 2 n 2 f, whereas he wavelengh corresponding o he second se is c λ 2 f. Since c n2 c i holds ha = c wih c 1, i follows ha, implying ha he arificial 2 n 2 2 n 2 c 2 c n2 c wavelengh of he second combinaion is longer han he wavelengh of he firs combinaion. I should be sressed ha only he precision of he ambiguiies is influenced by his longer wavelengh. The precision of he ionosphere-free combinaion iself and he precision of he baseline coordinaes urn ou o be insensiive for leaving ou he greaes common divisor or no, since for he variance facor of he ionosphere-free combinaion i holds ha 4 c +n4 c ( = 4 +n 4 2 c n2 c )2 ( 2 n 2 ). 2 As example, consider he curren GPS L1 and L2 frequencies, which are 154 imes respecively 120 imes he nominal frequency of MHz (see also Table 1). For he ionosphere-free combinaion L1/L2 however no he raio 154/120 should be aken, bu he raio 77/60, since he greaes common divisor of 154 and 120 is 2. The mahemaical model for he L1/L2 ionosphere-free combinaion reads: { {Φ12 } = ρ + λ (154a 1 120a 2 ) = ρ + λ (77a 1 60a 2 ) D{Φ 12 } = ( ) 2 σ 2 Φ = ( ) 2 σ 2 Φ So insead of he ineger combinaion 154a 1 120a 2, he combinaion 77a 1 60a 2 should be resolved, since i has a wavelengh which is a facor 2 longer han he wavelengh of he firs combinaion. The 154 facor wih which he sandard deviaion σ Φ is muliplied, remains ( ) = ( ) The riple-frequency case When phase observables a hree frequencies are available, here is unforunaely no one unique ionosphere-free combinaion o be made. Since for he eliminaion of he ionospheric delay wo frequencies are sufficien, i is possible o draf hree differen dual-frequency ionosphere-free combinaions for his purpose, insead of jus one in he dual-frequency case, which may be processed ogeher in one inegral adjusmen. On he oher hand i is also possible o form jus one ruly riple-frequency ionosphere-free combinaion. In his subsecion we will consider hese alernaives in deail Forming hree combinaions of wo frequencies Suppose we have he following phase observables available, each a a differen frequency: Φ f, Φ g, and Φ h. Based on combinaions of wo observables, like was done in equaion (5), hree dualfrequency ionosphere-free combinaions can be made: Φ fg, Φ fh and Φ gh. These hree combinaions could be processed simulaneously in order o solve for he baseline coordinaes and ambiguiies. However, one of he hree dual-frequency combinaions is unforunaely no independen, since i can be exacly consruced from he oher wo combinaions. For example, when he wavelengh (7) (8) 3

4 raios for he hree observables are denoed as λ g /λ f = g /n g and λ h /λ f = h /n h, i can be proved ha Φ gh can be wrien as a linear combinaion of Φ fg and Φ fh : Φ gh = 2 h (2 g n2 g ) 2 h (2 g n2 g ) 2 g (2 h n2 h )Φ fg 2 g (2 h n2 h ) 2 h (2 g n2 g ) 2 g (2 h n2 h )Φ fh (9) Processing he hree dual-frequency combinaions ogeher, would yield a oo opimisic precision of he unknown parameers, since i is assumed ha here is more informaion presen in he original phase observables han here really is. A more realisic resul is obained when wo of he hree ionosphere-free combinaions are processed in one adjusmen. For example, when we choose Φ fg and Φ fh as wo independen combinaions, he following funcional model can be se up: [ ] Φfg { } = Φ fh = [ g 2 g n2 g 2 h 2 h n2 h ] ρ + n2 g 0 2 g n2 g { Φ f Φ g } 0 n2 h 2 Φ h n2 ] [ h h afg [ λfg λfh a fh ], a fg, a fh Z We could also have chosen wo oher combinaions, e.g. Φ fg and Φ gh, o se up he funcional model. For he coordinae soluion (obained afer linearizaion of ρ) i makes forunaely no difference which combinaions are seleced, as long as hese are wo combinaions for which a proper sochasic model or variance-covariance (vc-) marix is used. Imporan is ha he (mahemaical) correlaion beween he ionosphere-free combinaions is accouned for, since he wo combinaions are each based on a common phase observable. When i is assumed ha he original phase observables are uncorrelaed and have an equal precision, he vc-marix of he combinaions Φ fg and Φ fh reads: [ ] Φfg D{ } = σ 2 Φ Φ (11) fh 4 g +n4 g 2 g 2 h ( 2 g n2 g )2 ( 2 g n2 g )(2 h n2 h ) 2 h 2 g 4 ( 2 h n2 h )(2 g n2 g ) h +n4 h ( 2 h n2 h )2 In conras o he coordinae soluion, for he ambiguiy soluion i makes a difference which wo combinaions are chosen, since differen ses of ionosphere-free combinaions inroduce differen ses of esimable ineger ambiguiies. In secion 3 i is explained which combinaions should be chosen for a fuure riple-frequency GPS sysem, while in secion 4 for a riple-frequency Galileo hese combinaions are presened Forming one combinaion of hree frequencies Insead of using combinaions of wo frequencies, i is also possible o form ionosphere-free combinaions ha are linear combinaions of all hree observables. A riple-frequency phase observables which preserves he ineger ambiguiy propery can be obained as follows: {Φ fgh } = 2 g +2 h ( 2 g n2 g )+(2 h n2 ){Φ n f } 2 g ( h 2 g n2 g )+(2 h n2 ){Φ n g} 2 h ( h 2 g n2 g )+(2 h n2 ){Φ h} h 1 [ = ρ + ( 2 g n2 g )+(2 h n2 )λ f ( 2 g + n 2 ] g)a f g n g a g h n h a h, a fgh Z h }{{}}{{} (12) a fgh λ fgh D{Φ fgh } = ( 2 g +2 h )2 +n 4 g +n4 h [( 2 g n2 g )+(2 h n2 h )]2 σ 2 Φ In order o make he wavelengh of his combinaion as long as possible, he ineger ambiguiy a fgh should be divided by he greaes common divisor of he hree inegers ( 2 g + n 2 g), g n g and h n h, whereas he wavelengh λ fgh should be muliplied wih i. xamples of oher riple-frequency ionosphere-free combinaions can be found in [Han and Rizos, 1999]. Alhough ineger esimaion is possible, hese ype of ionosphere-free combinaions do no preserve he full informaion conen in he hree original phase observables. From a sric poin of view namely, wo frequencies are sufficien o eliminae he ionospheric delay, while he remaining frequency acs as redundan observable. In his case however, no redundan observable remains. Therefore, hese ype of riple-frequency ionosphere-free combinaions are no discussed furher in his paper. (10) 4

5 3 The modernized GPS case In his secion we will ake a close look a he ionosphere-free combinaions of a modernized GPS wih riple-frequency phase observables. In Table 1 he hree GPS signals are summarized. Table 1: Modernized GPS signals. carrier signal noaion frequency (MHz) wavelengh (cm) L1 Φ = L2 Φ = L5 Φ = From Table 1 he GPS wavelengh raios, divided by heir greaes common divisors, follow as: λ 2 = 154 λ = 77 60, λ 3 = 154 λ 1 115, λ 3 = 120 λ = So for he raio λ 2 /λ 1 he greaes common divisor is 2, for λ 3 /λ 1 i is 1, while for λ 3 /λ 2 i is 5. sing hese wavelengh raios, hree dual-frequency ionosphere-free combinaions can be formed, which are besides he classical L1/L2 combinaion, he L2/L5 and L1/L5 combinaions. In Table 2 hese hree ionosphere-free combinaions are given, ogeher wih heir arificial wavelenghs, esimable ineger ambiguiy parameers and he facor wih which he sandard deviaion of he original phase observables needs o be muliplied in order o ge he sandard deviaion of he ionosphere-free combinaion. (13) Table 2: Possible dual-frequency ionosphere-free combinaions for (modernized) GPS. obs. lin. comb. wavelengh es. ambiguiies sd. facor L1/L Φ Φ cm 77a 1-60a L2/L Φ Φ cm 24a 2-23a L1/L Φ Φ cm 154a 1-115a Insead of using wo ou of he hree dual-frequency ionosphere-free combinaions, as given in Table 2, one can also process jus one dual-frequency combinaion in a modernized GPS siuaion. Insead of he curren L1/L2 combinaion, one migh ake he ionosphere-free combinaion of he L2 and L5 phase observables, since i has a much longer wavelengh (abou 12 cm) han he curren combinaion (0.63 cm), resuling in more precise ambiguiies. However, he precision of he L2/L5 combinaion is much worse: i has a muliplicaion facor of almos 17 versus he well-known facor 3 of he curren L1/L2 combinaion, which will have is deerioraing effec on he final baseline precision. The full informaion conen in he riple-frequency phase observables is preserved when wo ou of he hree ionosphere combinaions in Table 2 are processed in one adjusmen. In ha case he correlaion beween he wo combinaions needs o be aken ino accoun, see Secion 2.2. There are hree wo-combinaion ses possible, i.e. he L1/L2-L2/L5, L1/L2-L1/L5 or L1/L5-L2/L5 ses. For he purpose of ambiguiy resoluion hese hree ses are unforunaely no equivalen: in [Teunissen and Odijk, 2002] i is from a sric poin of view shown ha he L1/L2-L2/L5 se is admissible, while he oher wo ses are no, since heir esimable ambiguiy ses canno be obained from he ambiguiies of he L1/L2-L2/L5 se using an admissible ransformaion. For example, he ambiguiies of he L1/L2-L1/L5 se are ransformed from he L1/L2-L2/L5 se as follows: [ ] 77a1 60a 2 154a 1 115a 3 = ] [ 1 0 ] [ 77a1 60a 2 } 2 5 {{ } 24a 2 23a 3 Z 5 (14)

6 In order for he above ransformaion o be admissible, he marix beween Z he wo ses should fulfil wo condiions [Teunissen, 1995]: i) i should have all ineger enries, and ii) is deerminan should equal ±1. I can be seen from equaion (14) ha he firs condiion is fulfilled, hough no he second, since he deerminan of marix Z is equal o 5. Hence, he ransformaion is no admissible. A similar conclusion reads for he L1/L5-L2/L5 se. Of course, one should realize ha when one has decided no o carry ou ambiguiy resoluion and relies on he floa ambiguiy soluion, he skeched pifall does no hold. In ha siuaion i is allowed o use he wo oher ionosphere-free ses, since he ambiguiy parameerizaion does no affec he baseline soluion. 4 The Galileo case In a similar way as for modernized GPS, also for he fuure uropean Galileo sysem i is possible o invesigae he ionosphere-free phase combinaions and heir esimable ineger ambiguiy ses. Since he Galileo frequencies and signals are sill enaive [Hein e al., 2001], in his paper wo differen riple-frequency scenarios for he Galileo carrier signals are considered, denoed as (a) and (b), see Table 3. Table 3: Two possible Galileo scenarios. scenario carrier signal noaion frequency (MHz) wavelengh (cm) (a) 1(-L1-2) Φ = Φ = b Φ = (b) 1(-L1-2) Φ = b Φ = a Φ = oe ha he only difference in boh scenarios is ha in scenario (a) he 6 signal is included, while in scenario (b) his carrier is replaced by he 5a signal. Moreover, noe ha his 5a signal overlays he GPS L5 signal, and ha he 1-L1-2 frequency equals he GPS L1 frequency. In he sequel, he 1-L1-2 signal is denoed as Scenario (a): 1/6/5b We firs consider he ionosphere-free combinaions for Galileo scenario (a). In his case he wavelengh raios are given as: λ 2 = 154 λ 1 125, λ 3 = 1540 λ = , λ 3 = 1250 λ = sing hese raios, in Table 4 he hree dual-frequency ionosphere-free combinaions are given. (15) Table 4: Possible dual-frequency ionosphere-free combinaions for Galileo (a) obs. lin. comb. wavelengh es. ambiguiies sd. facor 1/ Φ Φ cm 154a 1-125a /5b Φ Φ cm 50a 2-47a /5b Φ Φ cm 308a 1-235a Compared o he GPS ionosphere-free combinaions in Table 2, also in his case here are wo combinaions wih a raher shor wavelengh and small precision facor, and one combinaion 6

7 (6/5b) wih a longer wavelengh, bu large precision facor. However, he longes wavelengh of abou 4 cm is significanly smaller han he 12 cm of he GPS L2/L5 combinaion. When all hree Galileo (a) signals are used, like wih GPS here is only one se of wo dualfrequency ionosphere-free combinaions which is opimal for ambiguiy resoluion, his is he 1/6-6/5b se. The esimable ambiguiies for he oher wo possible riple-frequency ses canno be obained from he ambiguiy se of 1/6-6/5b by an admissible ransformaion. 4.2 Scenario (b): 1/5b/5a For he Galileo scenario (b) he hree wavelengh raios read: λ 2 = 308 λ 1 235, λ 3 = 154 λ 1 115, λ 3 = 1175 λ = The hree dual-frequency ionosphere-free combinaions for his scenario are summarized in Table 5. (16) Table 5: Possible dual-frequency ionosphere-free combinaions for Galileo (b) obs. lin. comb. wavelengh es. ambiguiies sd. facor 1/5b Φ Φ cm 308a 1-235a b/5a Φ Φ cm 47a 2-46a /5a Φ Φ cm 154a 1-115a oe from he able ha for his scenario he 1/5b combinaion appears, which also was one of he combinaion in scenario (a). Besides, he 1/5a combinaion equals he GPS L1/L5 combinaion. The hird dual-frequency combinaion, 5b/5a, has no appeared so far. This is a combinaion wih a wavelengh of abou 13 cm, which is much longer han he longes wavelengh in Galileo scenario (a) and compares o he wavelengh of he GPS L2/L5 combinaion. Is noise level is however very bad, considering he facor of abou 33 wih which he sandard deviaion needs o be muliplied. For his scenario he se of wo dual-frequency combinaions which needs o be processed for opimal riple-frequency ambiguiy resoluion, is he 5b/5a-1/5a se. 5 valuaing ambiguiy success-raes and baseline precision In his secion he expeced performance of ambiguiy resoluion and he expeced fixed baseline precision wih he modernized GPS and Galileo ionosphere-free phase combinaions are discussed. To measure he performance of ambiguiy resoluion he probabiliy of correc ineger esimaion, ha is he ambiguiy success-rae [Teunissen, 1998], is used. Boh ambiguiy success-rae and baseline precision can be evaluaed wihou collecing real observaions, since hey are only based on he assumpions as embedded in he mahemaical model. In all compuaions i is assumed ha he DD ambiguiies remain consan during he complee ime span, such ha advanage is aken from he changing receiver-saellie geomery. This receiver-saellie geomery was simulaed for a locaion in he eherlands a (51 58, 5 51 ). To compue he posiions of he GPS saellies and o simulae he posiions of he Galileo saellies, a YMA almanac was used, in he same way as was done for he GPS/Galileo compuaions as described in [issfeller e al., 2001]. For boh consellaions 7 saellies were used, coninuously racked during a one hour ime span from o TC on January 19h, 2001, wih a sampling-inerval of 10 sec, and all saellies above 10 cu-off elevaion. In he simulaions also a ropospheric zenih delay parameer was inroduced for he enire ime span, for which he mapping coefficiens were compued using he simple 1/ sin e mapping funcion, wih e he elevaion angle. The sandard deviaion of all phase observaions was se a 2 mm (undifferenced). 7

8 1 0.9 L2/L floa fixed ambiguiy success rae L1/L2 L2/L5 L1/L2 sd. coordinae [m] L1/L5 0 ime span [min] ime span [min] Figure 1: Ambiguiy success-raes for he GPS ionosphere-free combinaions. Figure 2: Baseline precision for he GPS L2/L5 ionosphere-free combinaion. 5.1 GPS resuls In Figure 1 he ambiguiy success-raes are ploed as funcion of he ime span, for he GPS ionosphere-free combinaions, as reaed in Secion 3. Besides he curren L1/L2 combinaion, success-rae curves are ploed for he L1/L5 and L2/L5 dual-frequency combinaions, plus for he combined L1/L2-L2/L5 se, which is he opimal riple-frequency se. The figure shows several ineresing hings. Alhough ineger parameerizaion is possible for he curren L1/L2 ionosphere-free combinaion, even he use of a raher long ime span of one hour does no seem o be sufficien o reliably resolve he inegers. This is of course due o is relaively shor wavelengh (0.63 cm). Wih a modernized GPS sysem however, he L2/L5 combinaion seems o perform much beer han he wo oher dual-frequency combinaions, which could already be expeced because of is relaively long wavelengh. In his example afer abou 30 minues he success-rae is very close o 1. This L2/L5 combinaion performs also much beer han he riple-frequency L1/L2-L2/L5 se, for which he ambiguiy success-rae afer one hour is, alhough larger han for he curren L1/L2 combinaion, no close enough o 1. This small analysis suggess ha in a modernized riple-frequency GPS siuaion i is beer o use he L2/L5 combinaion only and no he inegraed L1/L2-L2/L5 combinaions. However, ambiguiy resoluion is no he end of he sory, since one is usually ineresed in baseline coordinaes esimaed wih he ineger ambiguiies fixed. From Secion 3 we know ha he noise level of he L2/L5 combinaion is abou a facor 17, whereas for he curren L1/L2 combinaion his is abou 3, and his will have a proporional effec on he final baseline precision. To invesigae o wha size his large facor influences he level of he baseline precision, in Figure 2 for he L2/L5 combinaion he floa and fixed baseline sandard deviaions (expressed in orh, as and p componens) are ploed for he ime span 30 minues. A he end of his ime span, in order for he ambiguiy resoluion o make sense, i is required ha he fixed baseline precision is significanly beer han is floa counerpar, and ha i is of an accepable level. From he figure i can be inferred ha afer 30 minues he floa baseline precision is sill a dm-level, while is fixed counerpar is much beer, a sub-cm level, bu only for he horizonal componens. The precision of he fixed heigh componen is only marginally beer han is floa counerpar (dm-level). This raher poor heigh precision is relaed o he esimaion of a ropospheric zenih delay for he ime span. Despie his, when one is mainly ineresed in he horizonal posiion i migh be worhwhile o resolve he ambiguiies using he L2/L5 combinaion only. Alhough he fixed baseline precision using he L1/L2-L2/L5 se is beer han using he L2/L5 se, when he same ime span is used (since in he laer case one ionosphere-free observable less is available), here is no need o esimae he fixed baseline precision in he firs case, since one has o wai so long before he ambiguiy success-rae is close enough o 1. In Figure 1 one can see ha for he example his akes more han one hour. Wihin his ime span, he floa baseline precision has already reached he sub-cm level, see Figure 3, which shows he floa sandard deviaions as 8

9 sd. coordinae [m] ime span [min] Figure 3: Floa baseline precision for he se of L1/L2-L2/L5 ionosphere-free combinaions. ambiguiy success rae /5b /6 6/5b /6 1/5b 0 ime span [min] sd. coordinae [m] floa fixed 10 3 ime span [min] Figure 4: Ambiguiy success-raes for he Galileo (a) ionosphere-free combinaions. Figure 5: Baseline precision for he Galileo (a) 6/5b ionosphere-free combinaion. funcion of he ime span, in his case 60 minues. 5.2 Galileo resuls In Figures 4 and 6 he ambiguiy success-raes for he dual-frequency and opimal riple-frequency Galileo ionosphere-free combinaions are ploed for he one hour ime span, in he same manner as was done for he GPS combinaions. A more or less similar behavior as wih GPS is visible: he success-rae of he dual-frequency combinaion wih he longes wavelengh approaches 1 faser han all oher combinaions. For he Galileo (a) scenario his is he 6/5b combinaion and for Galileo (b) his is he 5b/5a combinaion. Comparing hese wo combinaions, i is sriking ha he success-raes for boh combinaions have an approximaely equal behavior in ime. This similar behavior can be explained when he wavelenghs of he combinaions are considered, in relaion o heir noise level: he wavelengh of he 5b/5a combinaion (12 cm) is a facor 3 longer han for he 6/5a combinaion (4 cm), bu is precision level is a facor 3 worse han he level of 6/5a (sandard deviaion facor 11 versus 33, see Tables 4 and 5). For he success-raes for boh 6/5b and 5b/5a combinaions however a much longer ime span is required o be close o 1 han for he GPS L2/L5 dual-frequency combinaion. For he GPS combinaion his is for his example abou 30 minues, whereas for boh Galileo combinaions a ime span abou wice as long is required. For he horizonal baseline precision however, fixing of he ineger ambiguiies of boh Galileo combinaions sill makes sense: i is a sub cm-level, whereas he floa baseline precision lies only a sub dm-level, see Figures 5 and 7. The precision of he heigh componen does no benefi much from ambiguiy resoluion using he one hour ime span. 9

10 ambiguiy success rae b/5a b/5a 1/5a 0.1 1/5a 1/5b 0 ime span [min] sd. coordinae [m] floa fixed 10 3 ime span [min] Figure 6: Ambiguiy success-raes for he Galileo (b) ionosphere-free combinaions. Figure 7: Baseline precision for he Galileo (b) 5b/5a ionosphere-free combinaion. 6 Conclusions In his aricle i has been shown ha ineger ambiguiy resoluion is possible for ionospherefree combinaions based on carrier phase-only daa. Alhough no for he very fas applicaions, ambiguiy resoluion may improve he floa (horizonal) baseline precision significanly, his is especially rue for he L2/L5 combinaion in a modernized GPS siuaion. I is preferred o use his dual-frequency combinaion over he riple-frequency wo-combinaion se L1/L2-L2/L5, since ambiguiy resoluion for his laer se requires a much longer ime span and does hen no improve he floa baseline soluion much. For Galileo, he dual-frequency ionosphere-free combinaions 6/5b in one scenario and 5b/5a in anoher assumed scenario are expeced o perform abou he same for ambiguiy resoluion, hough worse han he GPS L2/L5 combinaion. However, also ambiguiy resoluion for hese Galileo combinaions may resul in much more precise final coordinae soluions han heir ambiguiy-floa counerpars wihin he same ime span. References issfeller, B., C. Tiberius, T. Pany, R. Biberger, T. Schueler, and G. Heinrichs (2001): Real-ime kinemaic in he ligh of GPS modernizaion and Galileo. Proceedings of IO GPS-2002, Sal Lake Ciy, SA, Sepember 11-14, Han, S. and C. Rizos (1999): The impac of wo addiional civilian GPS frequencies on ambiguiy resoluion sraegies. Proceedings of IO-TM 1999, Cambridge, Massachuses, SA, June 28-30, Hein, G.W., J. Gode, J.-L. Issler, J.-C. Marin, R. Lucas-Rodriguez, and T. Pra (2001): The Galileo frequency srucure and signal design. Proceedings of IO GPS-2002, Sal Lake Ciy, SA, Sepember 11-14, Hofmann-Wellenhof, B., H. Lichenegger, and J. Collins (2001): Theory and Pracice. 5h ediion. Springer Verlag. Global Posiioning Sysem: Teunissen, P.J.G. (1995): The inverible GPS ambiguiy ransformaions. Manuscripa Geodaeica, 6, Teunissen, P.J.G. (1998): Success probabiliy of ineger GPS ambiguiy rounding and boosrapping. Journal of Geodesy, 72, Teunissen, P.J.G., and D. Odijk (2002): Rank-defec ineger esimaion and phase-only modernized GPS ambiguiy resoluion. Acceped for publicaion in Journal of Geodesy. 10

Lecture #7: Discrete-time Signals and Sampling

Lecture #7: Discrete-time Signals and Sampling EEL335: Discree-Time Signals and Sysems Lecure #7: Discree-ime Signals and Sampling. Inroducion Lecure #7: Discree-ime Signals and Sampling Unlike coninuous-ime signals, discree-ime signals have defined

More information

10. The Series Resistor and Inductor Circuit

10. The Series Resistor and Inductor Circuit Elecronicsab.nb 1. he Series esisor and Inducor Circui Inroducion he las laboraory involved a resisor, and capacior, C in series wih a baery swich on or off. I was simpler, as a pracical maer, o replace

More information

P. Bruschi: Project guidelines PSM Project guidelines.

P. Bruschi: Project guidelines PSM Project guidelines. Projec guidelines. 1. Rules for he execuion of he projecs Projecs are opional. Their aim is o improve he sudens knowledge of he basic full-cusom design flow. The final score of he exam is no affeced by

More information

March 13, 2009 CHAPTER 3: PARTIAL DERIVATIVES AND DIFFERENTIATION

March 13, 2009 CHAPTER 3: PARTIAL DERIVATIVES AND DIFFERENTIATION March 13, 2009 CHAPTER 3: PARTIAL DERIVATIVES AND DIFFERENTIATION 1. Parial Derivaives and Differeniable funcions In all his chaper, D will denoe an open subse of R n. Definiion 1.1. Consider a funcion

More information

Negative frequency communication

Negative frequency communication Negaive frequency communicaion Fanping DU Email: dufanping@homail.com Qing Huo Liu arxiv:2.43v5 [cs.it] 26 Sep 2 Deparmen of Elecrical and Compuer Engineering Duke Universiy Email: Qing.Liu@duke.edu Absrac

More information

EE 330 Lecture 24. Amplification with Transistor Circuits Small Signal Modelling

EE 330 Lecture 24. Amplification with Transistor Circuits Small Signal Modelling EE 330 Lecure 24 Amplificaion wih Transisor Circuis Small Signal Modelling Review from las ime Area Comparison beween BJT and MOSFET BJT Area = 3600 l 2 n-channel MOSFET Area = 168 l 2 Area Raio = 21:1

More information

Pointwise Image Operations

Pointwise Image Operations Poinwise Image Operaions Binary Image Analysis Jana Kosecka hp://cs.gmu.edu/~kosecka/cs482.hml - Lookup able mach image inensiy o he displayed brighness values Manipulaion of he lookup able differen Visual

More information

Memorandum on Impulse Winding Tester

Memorandum on Impulse Winding Tester Memorandum on Impulse Winding Teser. Esimaion of Inducance by Impulse Response When he volage response is observed afer connecing an elecric charge sored up in he capaciy C o he coil L (including he inside

More information

The University of Melbourne Department of Mathematics and Statistics School Mathematics Competition, 2013 JUNIOR DIVISION Time allowed: Two hours

The University of Melbourne Department of Mathematics and Statistics School Mathematics Competition, 2013 JUNIOR DIVISION Time allowed: Two hours The Universiy of Melbourne Deparmen of Mahemaics and Saisics School Mahemaics Compeiion, 203 JUNIOR DIVISION Time allowed: Two hours These quesions are designed o es your abiliy o analyse a problem and

More information

4.5 Biasing in BJT Amplifier Circuits

4.5 Biasing in BJT Amplifier Circuits 4/5/011 secion 4_5 Biasing in MOS Amplifier Circuis 1/ 4.5 Biasing in BJT Amplifier Circuis eading Assignmen: 8086 Now le s examine how we C bias MOSFETs amplifiers! f we don bias properly, disorion can

More information

ECE-517 Reinforcement Learning in Artificial Intelligence

ECE-517 Reinforcement Learning in Artificial Intelligence ECE-517 Reinforcemen Learning in Arificial Inelligence Lecure 11: Temporal Difference Learning (con.), Eligibiliy Traces Ocober 8, 2015 Dr. Iamar Arel College of Engineering Deparmen of Elecrical Engineering

More information

The student will create simulations of vertical components of circular and harmonic motion on GX.

The student will create simulations of vertical components of circular and harmonic motion on GX. Learning Objecives Circular and Harmonic Moion (Verical Transformaions: Sine curve) Algebra ; Pre-Calculus Time required: 10 150 min. The sudens will apply combined verical ranslaions and dilaions in he

More information

Notes on the Fourier Transform

Notes on the Fourier Transform Noes on he Fourier Transform The Fourier ransform is a mahemaical mehod for describing a coninuous funcion as a series of sine and cosine funcions. The Fourier Transform is produced by applying a series

More information

Lab 3 Acceleration. What You Need To Know: Physics 211 Lab

Lab 3 Acceleration. What You Need To Know: Physics 211 Lab b Lab 3 Acceleraion Wha You Need To Know: The Physics In he previous lab you learned ha he velociy of an objec can be deermined by finding he slope of he objec s posiion vs. ime graph. x v ave. = v ave.

More information

EXPERIMENT #4 AM MODULATOR AND POWER AMPLIFIER

EXPERIMENT #4 AM MODULATOR AND POWER AMPLIFIER EXPERIMENT #4 AM MODULATOR AND POWER AMPLIFIER INTRODUCTION: Being able o ransmi a radio frequency carrier across space is of no use unless we can place informaion or inelligence upon i. This las ransmier

More information

(This lesson plan assumes the students are using an air-powered rocket as described in the Materials section.)

(This lesson plan assumes the students are using an air-powered rocket as described in the Materials section.) The Mah Projecs Journal Page 1 PROJECT MISSION o MArs inroducion Many sae mah sandards and mos curricula involving quadraic equaions require sudens o solve "falling objec" or "projecile" problems, which

More information

Errata and Updates for ASM Exam MLC (Fourteenth Edition) Sorted by Page

Errata and Updates for ASM Exam MLC (Fourteenth Edition) Sorted by Page Erraa for ASM Exam MLC Sudy Manual (Foureenh Ediion) Sored by Page 1 Erraa and Updaes for ASM Exam MLC (Foureenh Ediion) Sored by Page Pracice Exam 7:25 (page 1386) is defecive, Pracice Exam 5:21 (page

More information

Reducing Computational Load in Solution Separation for Kalman Filters and an Application to PPP Integrity

Reducing Computational Load in Solution Separation for Kalman Filters and an Application to PPP Integrity Reducing Compuaional Load in Soluion Separaion for Kalman Filers and an Applicaion o PPP Inegriy Juan Blanch, Kaz Gunning, Todd Waler. Sanford Universiy Lance De Groo, Laura Norman. Hexagon Posiioning

More information

Control and Protection Strategies for Matrix Converters. Control and Protection Strategies for Matrix Converters

Control and Protection Strategies for Matrix Converters. Control and Protection Strategies for Matrix Converters Conrol and Proecion Sraegies for Marix Converers Dr. Olaf Simon, Siemens AG, A&D SD E 6, Erlangen Manfred Bruckmann, Siemens AG, A&D SD E 6, Erlangen Conrol and Proecion Sraegies for Marix Converers To

More information

Signals and the frequency domain ENGR 40M lecture notes July 31, 2017 Chuan-Zheng Lee, Stanford University

Signals and the frequency domain ENGR 40M lecture notes July 31, 2017 Chuan-Zheng Lee, Stanford University Signals and he requency domain ENGR 40M lecure noes July 3, 07 Chuan-Zheng Lee, Sanord Universiy signal is a uncion, in he mahemaical sense, normally a uncion o ime. We oen reer o uncions as signals o

More information

ECE3204 Microelectronics II Bitar / McNeill. ECE 3204 / Term D-2017 Problem Set 7

ECE3204 Microelectronics II Bitar / McNeill. ECE 3204 / Term D-2017 Problem Set 7 EE3204 Microelecronics II Biar / McNeill Due: Monday, May 1, 2017 EE 3204 / Term D-2017 Problem Se 7 All ex problems from Sedra and Smih, Microelecronic ircuis, 7h ediion. NOTES: Be sure your NAME and

More information

MODELING OF CROSS-REGULATION IN MULTIPLE-OUTPUT FLYBACK CONVERTERS

MODELING OF CROSS-REGULATION IN MULTIPLE-OUTPUT FLYBACK CONVERTERS MODELING OF CROSS-REGULATION IN MULTIPLE-OUTPUT FLYBACK CONVERTERS Dragan Maksimovićand Rober Erickson Colorado Power Elecronics Cener Deparmen of Elecrical and Compuer Engineering Universiy of Colorado,

More information

Signal Characteristics

Signal Characteristics Signal Characerisics Analog Signals Analog signals are always coninuous (here are no ime gaps). The signal is of infinie resoluion. Discree Time Signals SignalCharacerisics.docx 8/28/08 10:41 AM Page 1

More information

OpenStax-CNX module: m Elemental Signals. Don Johnson. Perhaps the most common real-valued signal is the sinusoid.

OpenStax-CNX module: m Elemental Signals. Don Johnson. Perhaps the most common real-valued signal is the sinusoid. OpenSax-CNX module: m0004 Elemenal Signals Don Johnson This work is produced by OpenSax-CNX and licensed under he Creaive Commons Aribuion License.0 Absrac Complex signals can be buil from elemenal signals,

More information

Chapter 2 Introduction: From Phase-Locked Loop to Costas Loop

Chapter 2 Introduction: From Phase-Locked Loop to Costas Loop Chaper 2 Inroducion: From Phase-Locked Loop o Cosas Loop The Cosas loop can be considered an exended version of he phase-locked loop (PLL). The PLL has been invened in 932 by French engineer Henri de Belleszice

More information

EECE 301 Signals & Systems Prof. Mark Fowler

EECE 301 Signals & Systems Prof. Mark Fowler EECE 3 Signals & Sysems Prof. Mark Fowler Noe Se #8 C-T Sysems: Frequency-Domain Analysis of Sysems Reading Assignmen: Secion 5.2 of Kamen and Heck /2 Course Flow Diagram The arrows here show concepual

More information

Lecture 4. EITN Chapter 12, 13 Modulation and diversity. Antenna noise is usually given as a noise temperature!

Lecture 4. EITN Chapter 12, 13 Modulation and diversity. Antenna noise is usually given as a noise temperature! Lecure 4 EITN75 2018 Chaper 12, 13 Modulaion and diversiy Receiver noise: repeiion Anenna noise is usually given as a noise emperaure! Noise facors or noise figures of differen sysem componens are deermined

More information

Social-aware Dynamic Router Node Placement in Wireless Mesh Networks

Social-aware Dynamic Router Node Placement in Wireless Mesh Networks Social-aware Dynamic Rouer Node Placemen in Wireless Mesh Neworks Chun-Cheng Lin Pei-Tsung Tseng Ting-Yu Wu Der-Jiunn Deng ** Absrac The problem of dynamic rouer node placemen (dynrnp) in wireless mesh

More information

Teacher Supplement to Operation Comics, Issue #5

Teacher Supplement to Operation Comics, Issue #5 eacher Supplemen o Operaion Comics, Issue #5 he purpose of his supplemen is o provide conen suppor for he mahemaics embedded ino he fifh issue of Operaion Comics, and o show how he mahemaics addresses

More information

PRECISE ORBIT DETERMINATION OF THE CHAMP SATELLITE WITH STAND-ALONE GPS. Sunil B. Bisnath and Richard B. Langley

PRECISE ORBIT DETERMINATION OF THE CHAMP SATELLITE WITH STAND-ALONE GPS. Sunil B. Bisnath and Richard B. Langley PRECISE ORBIT DETERMINTION OF THE CHMP STELLITE WITH STND-LONE GPS Sunil B. Bisnah and Richard B. Langley The European Navigaion Conference 2002 GNSS 2002 27-30 May 2002 Copenhagen, Denmark OVERVIEW Inroducion

More information

Role of Kalman Filters in Probabilistic Algorithm

Role of Kalman Filters in Probabilistic Algorithm Volume 118 No. 11 2018, 5-10 ISSN: 1311-8080 (prined version); ISSN: 1314-3395 (on-line version) url: hp://www.ijpam.eu doi: 10.12732/ijpam.v118i11.2 ijpam.eu Role of Kalman Filers in Probabilisic Algorihm

More information

AN303 APPLICATION NOTE

AN303 APPLICATION NOTE AN303 APPLICATION NOTE LATCHING CURRENT INTRODUCTION An imporan problem concerning he uilizaion of componens such as hyrisors or riacs is he holding of he componen in he conducing sae afer he rigger curren

More information

Evaluation of Instantaneous Reliability Measures for a Gradual Deteriorating System

Evaluation of Instantaneous Reliability Measures for a Gradual Deteriorating System General Leers in Mahemaic, Vol. 3, No.3, Dec 27, pp. 77-85 e-issn 259-9277, p-issn 259-9269 Available online a hp:\\ www.refaad.com Evaluaion of Insananeous Reliabiliy Measures for a Gradual Deerioraing

More information

An off-line multiprocessor real-time scheduling algorithm to reduce static energy consumption

An off-line multiprocessor real-time scheduling algorithm to reduce static energy consumption An off-line muliprocessor real-ime scheduling algorihm o reduce saic energy consumpion Firs Workshop on Highly-Reliable Power-Efficien Embedded Designs Shenzhen, China Vincen Legou, Mahieu Jan, Lauren

More information

Variation Aware Cross-Talk Aggressor Alignment by Mixed Integer Linear Programming

Variation Aware Cross-Talk Aggressor Alignment by Mixed Integer Linear Programming ariaion Aware Cross-alk Aggressor Alignmen by Mixed Ineger Linear Programming ladimir Zoloov IBM. J. Wason Research Cener, Yorkown Heighs, NY zoloov@us.ibm.com Peer Feldmann D. E. Shaw Research, New York,

More information

Revision: June 11, E Main Suite D Pullman, WA (509) Voice and Fax

Revision: June 11, E Main Suite D Pullman, WA (509) Voice and Fax 2.5.3: Sinusoidal Signals and Complex Exponenials Revision: June 11, 2010 215 E Main Suie D Pullman, W 99163 (509) 334 6306 Voice and Fax Overview Sinusoidal signals and complex exponenials are exremely

More information

EE201 Circuit Theory I Fall

EE201 Circuit Theory I Fall EE1 Circui Theory I 17 Fall 1. Basic Conceps Chaper 1 of Nilsson - 3 Hrs. Inroducion, Curren and Volage, Power and Energy. Basic Laws Chaper &3 of Nilsson - 6 Hrs. Volage and Curren Sources, Ohm s Law,

More information

Direct Analysis of Wave Digital Network of Microstrip Structure with Step Discontinuities

Direct Analysis of Wave Digital Network of Microstrip Structure with Step Discontinuities Direc Analysis of Wave Digial Nework of Microsrip Srucure wih Sep Disconinuiies BILJANA P. SOŠIĆ Faculy of Elecronic Engineering Universiy of Niš Aleksandra Medvedeva 4, Niš SERBIA MIODRAG V. GMIROVIĆ

More information

Modeling and Prediction of the Wireless Vector Channel Encountered by Smart Antenna Systems

Modeling and Prediction of the Wireless Vector Channel Encountered by Smart Antenna Systems Modeling and Predicion of he Wireless Vecor Channel Encounered by Smar Anenna Sysems Kapil R. Dandekar, Albero Arredondo, Hao Ling and Guanghan Xu A Kalman-filer based, vecor auoregressive (VAR) model

More information

Lecture September 6, 2011

Lecture September 6, 2011 cs294-p29 Seminar on Algorihmic Game heory Sepember 6, 2011 Lecure Sepember 6, 2011 Lecurer: Chrisos H. Papadimiriou Scribes: Aloni Cohen and James Andrews 1 Game Represenaion 1.1 abular Form and he Problem

More information

Comparing image compression predictors using fractal dimension

Comparing image compression predictors using fractal dimension Comparing image compression predicors using fracal dimension RADU DOBRESCU, MAEI DOBRESCU, SEFA MOCAU, SEBASIA ARALUGA Faculy of Conrol & Compuers POLIEHICA Universiy of Buchares Splaiul Independenei 313

More information

A Segmentation Method for Uneven Illumination Particle Images

A Segmentation Method for Uneven Illumination Particle Images Research Journal of Applied Sciences, Engineering and Technology 5(4): 1284-1289, 2013 ISSN: 2040-7459; e-issn: 2040-7467 Maxwell Scienific Organizaion, 2013 Submied: July 17, 2012 Acceped: Augus 15, 2012

More information

Using Box-Jenkins Models to Forecast Mobile Cellular Subscription

Using Box-Jenkins Models to Forecast Mobile Cellular Subscription Open Journal of Saisics, 26, 6, 33-39 Published Online April 26 in SciRes. hp://www.scirp.org/journal/ojs hp://dx.doi.org/.4236/ojs.26.6226 Using Box-Jenkins Models o Forecas Mobile Cellular Subscripion

More information

Communication Systems. Department of Electronics and Electrical Engineering

Communication Systems. Department of Electronics and Electrical Engineering COMM 704: Communicaion Lecure : Analog Mulipliers Dr Mohamed Abd El Ghany Dr. Mohamed Abd El Ghany, Mohamed.abdel-ghany@guc.edu.eg nroducion Nonlinear operaions on coninuous-valued analog signals are ofen

More information

Mobile Robot Localization Using Fusion of Object Recognition and Range Information

Mobile Robot Localization Using Fusion of Object Recognition and Range Information 007 IEEE Inernaional Conference on Roboics and Auomaion Roma, Ialy, 10-14 April 007 FrB1.3 Mobile Robo Localizaion Using Fusion of Objec Recogniion and Range Informaion Byung-Doo Yim, Yong-Ju Lee, Jae-Bok

More information

Motion-blurred star image acquisition and restoration method based on the separable kernel Honglin Yuana, Fan Lib and Tao Yuc

Motion-blurred star image acquisition and restoration method based on the separable kernel Honglin Yuana, Fan Lib and Tao Yuc 5h Inernaional Conference on Advanced Maerials and Compuer Science (ICAMCS 206) Moion-blurred sar image acquisiion and resoraion mehod based on he separable kernel Honglin Yuana, Fan Lib and Tao Yuc Beihang

More information

BOUNCER CIRCUIT FOR A 120 MW/370 KV SOLID STATE MODULATOR

BOUNCER CIRCUIT FOR A 120 MW/370 KV SOLID STATE MODULATOR BOUNCER CIRCUIT FOR A 120 MW/370 KV SOLID STATE MODULATOR D. Gerber, J. Biela Laboraory for High Power Elecronic Sysems ETH Zurich, Physiksrasse 3, CH-8092 Zurich, Swizerland Email: gerberdo@ehz.ch This

More information

EXPERIMENT #9 FIBER OPTIC COMMUNICATIONS LINK

EXPERIMENT #9 FIBER OPTIC COMMUNICATIONS LINK EXPERIMENT #9 FIBER OPTIC COMMUNICATIONS LINK INTRODUCTION: Much of daa communicaions is concerned wih sending digial informaion hrough sysems ha normally only pass analog signals. A elephone line is such

More information

ECMA st Edition / June Near Field Communication Wired Interface (NFC-WI)

ECMA st Edition / June Near Field Communication Wired Interface (NFC-WI) ECMA-373 1 s Ediion / June 2006 Near Field Communicaion Wired Inerface (NFC-WI) Sandard ECMA-373 1 s Ediion / June 2006 Near Field Communicaion Wired Inerface (NFC-WI) Ecma Inernaional Rue du Rhône 114

More information

Chapter 14: Bandpass Digital Transmission. A. Bruce Carlson Paul B. Crilly 2010 The McGraw-Hill Companies

Chapter 14: Bandpass Digital Transmission. A. Bruce Carlson Paul B. Crilly 2010 The McGraw-Hill Companies Communicaion Sysems, 5e Chaper 4: Bandpass Digial Transmission A. Bruce Carlson Paul B. Crilly The McGraw-Hill Companies Chaper 4: Bandpass Digial Transmission Digial CW modulaion Coheren binary sysems

More information

Ultrawideband Normalized Radar Cross Sections of Distributed Clutter

Ultrawideband Normalized Radar Cross Sections of Distributed Clutter Ulrawideband Normalized Radar Cross Secions o Disribued Cluer Ram M. Narayanan Deparmen o Elecrical Engineering The Pennsylvania Sae Universiy Universiy Park, PA 68, USA ram@engr.psu.edu Absrac Theoreical

More information

Chapter 2 Summary: Continuous-Wave Modulation. Belkacem Derras

Chapter 2 Summary: Continuous-Wave Modulation. Belkacem Derras ECEN 44 Communicaion Theory Chaper Summary: Coninuous-Wave Modulaion.1 Modulaion Modulaion is a process in which a parameer of a carrier waveform is varied in accordance wih a given message (baseband)

More information

MATLAB/SIMULINK TECHNOLOGY OF THE SYGNAL MODULATION

MATLAB/SIMULINK TECHNOLOGY OF THE SYGNAL MODULATION J Modern Technology & Engineering Vol2, No1, 217, pp76-81 MATLAB/SIMULINK TECHNOLOGY OF THE SYGNAL MODULATION GA Rusamov 1*, RJ Gasimov 1, VG Farhadov 1 1 Azerbaijan Technical Universiy, Baku, Azerbaijan

More information

Phase-Shifting Control of Double Pulse in Harmonic Elimination Wei Peng1, a*, Junhong Zhang1, Jianxin gao1, b, Guangyi Li1, c

Phase-Shifting Control of Double Pulse in Harmonic Elimination Wei Peng1, a*, Junhong Zhang1, Jianxin gao1, b, Guangyi Li1, c Inernaional Symposium on Mechanical Engineering and Maerial Science (ISMEMS 016 Phase-Shifing Conrol of Double Pulse in Harmonic Eliminaion Wei Peng1, a*, Junhong Zhang1, Jianxin gao1, b, Guangyi i1, c

More information

Answer Key for Week 3 Homework = 100 = 140 = 138

Answer Key for Week 3 Homework = 100 = 140 = 138 Econ 110D Fall 2009 K.D. Hoover Answer Key for Week 3 Homework Problem 4.1 a) Laspeyres price index in 2006 = 100 (1 20) + (0.75 20) Laspeyres price index in 2007 = 100 (0.75 20) + (0.5 20) 20 + 15 = 100

More information

Square Waves, Sinusoids and Gaussian White Noise: A Matching Pursuit Conundrum? Don Percival

Square Waves, Sinusoids and Gaussian White Noise: A Matching Pursuit Conundrum? Don Percival Square Waves, Sinusoids and Gaussian Whie Noise: A Maching Pursui Conundrum? Don Percival Applied Physics Laboraory Deparmen of Saisics Universiy of Washingon Seale, Washingon, USA hp://faculy.washingon.edu/dbp

More information

Gaussian Blurring-Deblurring for Improved Image Compression

Gaussian Blurring-Deblurring for Improved Image Compression aussian Blurring-Deblurring for mproved mage Compression Moi Hoon Yap 1 Michel Biser Hong Ta Ewe 1 1 Mulimedia Universi (MMU) Jalan Mulimedia 100 Cberjaa Selangor Darul Ehsan Malasia {mhap hewe}@mmu.edu.m

More information

Volume Author/Editor: Simon Kuznets, assisted by Elizabeth Jenks. Volume URL:

Volume Author/Editor: Simon Kuznets, assisted by Elizabeth Jenks. Volume URL: This PDF is a selecion from an ou-of-prin volume from he Naional Bureau of Economic Research Volume Tile: Shares of Upper Income Groups in Income and Savings Volume Auhor/Edior: Simon Kuznes, assised by

More information

AN5028 Application note

AN5028 Application note Applicaion noe Calculaion of urn-off power losses generaed by an ulrafas diode Inroducion This applicaion noe explains how o calculae urn-off power losses generaed by an ulrafas diode, by aking ino accoun

More information

Performance Analysis of High-Rate Full-Diversity Space Time Frequency/Space Frequency Codes for Multiuser MIMO-OFDM

Performance Analysis of High-Rate Full-Diversity Space Time Frequency/Space Frequency Codes for Multiuser MIMO-OFDM Performance Analysis of High-Rae Full-Diversiy Space Time Frequency/Space Frequency Codes for Muliuser MIMO-OFDM R. SHELIM, M.A. MATIN AND A.U.ALAM Deparmen of Elecrical Engineering and Compuer Science

More information

TELE4652 Mobile and Satellite Communications

TELE4652 Mobile and Satellite Communications TELE465 Mobile and Saellie Communicaions Assignmen (Due: 4pm, Monday 7 h Ocober) To be submied o he lecurer before he beginning of he final lecure o be held a his ime.. This quesion considers Minimum Shif

More information

Estimating Transfer Functions with SigLab

Estimating Transfer Functions with SigLab APPLICATION NOTE Esimaing Transfer Funcions wih SigLab Accurae ransfer funcion esimaion of linear, noise-free, dynamic sysems is an easy ask for DSPT SigLab. Ofen, however, he sysem being analyzed is noisy

More information

Communications II Lecture 7: Performance of digital modulation

Communications II Lecture 7: Performance of digital modulation Communicaions II Lecure 7: Performance of digial modulaion Professor Kin K. Leung EEE and Compuing Deparmens Imperial College London Copyrigh reserved Ouline Digial modulaion and demodulaion Error probabiliy

More information

2600 Capitol Avenue Suite 200 Sacramento, CA phone fax

2600 Capitol Avenue Suite 200 Sacramento, CA phone fax 26 Capiol Avenue Suie 2 Sacrameno, CA 9816 916.64.4 phone 916.64.41 fax www.esassoc.com memorandum dae Sepember 2, 216 o from subjec Richard Rich, Ciy of Sacrameno; Jeffrey Dorso, Pioneer Law Group Brian

More information

NCTM Content Standard/National Science Education Standard:

NCTM Content Standard/National Science Education Standard: Tile: Logarihms Brief Overview: In his Concep Developmen Uni, he concep of logarihms is discussed. The relaionship beween eponenial equaions and logarihmic equaions is eplored. The properies of logs are

More information

4 20mA Interface-IC AM462 for industrial µ-processor applications

4 20mA Interface-IC AM462 for industrial µ-processor applications Because of he grea number of indusrial buses now available he majoriy of indusrial measuremen echnology applicaions sill calls for he sandard analog curren nework. The reason for his lies in he fac ha

More information

Pulse Train Controlled PCCM Buck-Boost Converter Ming Qina, Fangfang Lib

Pulse Train Controlled PCCM Buck-Boost Converter Ming Qina, Fangfang Lib 5h Inernaional Conference on Environmen, Maerials, Chemisry and Power Elecronics (EMCPE 016 Pulse Train Conrolled PCCM Buck-Boos Converer Ming Qina, Fangfang ib School of Elecrical Engineering, Zhengzhou

More information

Experiment 6: Transmission Line Pulse Response

Experiment 6: Transmission Line Pulse Response Eperimen 6: Transmission Line Pulse Response Lossless Disribued Neworks When he ime required for a pulse signal o raverse a circui is on he order of he rise or fall ime of he pulse, i is no longer possible

More information

Announcement. Allowed

Announcement. Allowed 9//05 nnouncemen Firs es: Sep. 8, Chap. -4 llowed wriing insrumen poce calculaor ruler One 8.5" " paper conaining consans, formulas, and any oher informaion ha you migh find useful (NOT any inds of soluions).

More information

Multiple Load-Source Integration in a Multilevel Modular Capacitor Clamped DC-DC Converter Featuring Fault Tolerant Capability

Multiple Load-Source Integration in a Multilevel Modular Capacitor Clamped DC-DC Converter Featuring Fault Tolerant Capability Muliple Load-Source Inegraion in a Mulilevel Modular Capacior Clamped DC-DC Converer Feauring Faul Toleran Capabiliy Faisal H. Khan, Leon M. Tolber The Universiy of Tennessee Elecrical and Compuer Engineering

More information

Laplacian Mixture Modeling for Overcomplete Mixing Matrix in Wavelet Packet Domain by Adaptive EM-type Algorithm and Comparisons

Laplacian Mixture Modeling for Overcomplete Mixing Matrix in Wavelet Packet Domain by Adaptive EM-type Algorithm and Comparisons Proceedings of he 5h WSEAS Inernaional Conference on Signal Processing, Isanbul, urey, May 7-9, 6 (pp45-5) Laplacian Mixure Modeling for Overcomplee Mixing Marix in Wavele Pace Domain by Adapive EM-ype

More information

Noise Reduction/Mode Isolation with Adaptive Down Conversion (ADC)

Noise Reduction/Mode Isolation with Adaptive Down Conversion (ADC) Page 1 Noise Reducion/Mode Isolaion wih Adapive Down Conversion (ADC) Abel B. Diaz, Thomas W. Tunnell NSTec Los Alamos Operaions Presened o PDV Workshop 8-16-2007 Page 2 Summary Adapive down conversion

More information

Lecture 11. Digital Transmission Fundamentals

Lecture 11. Digital Transmission Fundamentals CS4/MSc Compuer Neworking Lecure 11 Digial Transmission Fundamenals Compuer Neworking, Copyrigh Universiy of Edinburgh 2005 Digial Transmission Fundamenals Neworks consruced ou of Links or ransmission

More information

EE 40 Final Project Basic Circuit

EE 40 Final Project Basic Circuit EE 0 Spring 2006 Final Projec EE 0 Final Projec Basic Circui Par I: General insrucion 1. The final projec will coun 0% of he lab grading, since i s going o ake lab sessions. All oher individual labs will

More information

Foreign Fiber Image Segmentation Based on Maximum Entropy and Genetic Algorithm

Foreign Fiber Image Segmentation Based on Maximum Entropy and Genetic Algorithm Journal of Compuer and Communicaions, 215, 3, 1-7 Published Online November 215 in SciRes. hp://www.scirp.org/journal/jcc hp://dx.doi.org/1.4236/jcc.215.3111 Foreign Fiber Image Segmenaion Based on Maximum

More information

Examination Mobile & Wireless Networking ( ) April 12,

Examination Mobile & Wireless Networking ( ) April 12, Page 1 of 5 Examinaion Mobile & Wireless Neworking (192620010) April 12, 2017 13.45 16.45 Noes: Only he overhead shees used in he course, 2 double-sided shees of noes (any fon size/densiy!), and a dicionary

More information

Dead Zone Compensation Method of H-Bridge Inverter Series Structure

Dead Zone Compensation Method of H-Bridge Inverter Series Structure nd Inernaional Conference on Elecrical, Auomaion and Mechanical Engineering (EAME 7) Dead Zone Compensaion Mehod of H-Bridge Inverer Series Srucure Wei Li Insiue of Elecrical Engineering and Informaion

More information

TU Delft. Digital color imaging & Digital color image processing. TU Delft. TU Delft. TU Delft. The human eye. Spectrum and Color I

TU Delft. Digital color imaging & Digital color image processing. TU Delft. TU Delft. TU Delft. The human eye. Spectrum and Color I Digial color imaging & Digial color image processing The human eye Lucas J. van Vlie www.ph.n.udelf.nl/~lucas TNW: Faculy of Applied Sciences IST: Imaging Science & Technology PH: Digial Color Imaging

More information

Parameters Affecting Lightning Backflash Over Pattern at 132kV Double Circuit Transmission Lines

Parameters Affecting Lightning Backflash Over Pattern at 132kV Double Circuit Transmission Lines Parameers Affecing Lighning Backflash Over Paern a 132kV Double Circui Transmission Lines Dian Najihah Abu Talib 1,a, Ab. Halim Abu Bakar 2,b, Hazlie Mokhlis 1 1 Deparmen of Elecrical Engineering, Faculy

More information

f t 2cos 2 Modulator Figure 21: DSB-SC modulation.

f t 2cos 2 Modulator Figure 21: DSB-SC modulation. 4.5 Ampliude modulaion: AM 4.55. DSB-SC ampliude modulaion (which is summarized in Figure 21) is easy o undersand and analyze in boh ime and frequency domains. However, analyical simpliciy is no always

More information

5 Spatial Relations on Lines

5 Spatial Relations on Lines 5 Spaial Relaions on Lines There are number of useful problems ha can be solved wih he basic consrucion echniques developed hus far. We now look a cerain problems, which involve spaial relaionships beween

More information

Improving the Sound Recording Quality of Wireless Sensors Using Automatic Gain Control Methods

Improving the Sound Recording Quality of Wireless Sensors Using Automatic Gain Control Methods BULETINUL ŞTIINŢIFIC al Universiăţii POLITEHNICA din Timişoara, România, Seria AUTOMATICĂ ŞI CALCULATOARE SCIENTIFIC BULLETIN of The POLITEHNICA Universiy of Timişoara, Romania, Transacions on AUTOMATIC

More information

UNIT IV DIGITAL MODULATION SCHEME

UNIT IV DIGITAL MODULATION SCHEME UNI IV DIGIAL MODULAION SCHEME Geomeric Represenaion of Signals Ojecive: o represen any se of M energy signals {s i (} as linear cominaions of N orhogonal asis funcions, where N M Real value energy signals

More information

Technology Trends & Issues in High-Speed Digital Systems

Technology Trends & Issues in High-Speed Digital Systems Deailed comparison of dynamic range beween a vecor nework analyzer and sampling oscilloscope based ime domain reflecomeer by normalizing measuremen ime Sho Okuyama Technology Trends & Issues in High-Speed

More information

A NEW DUAL-POLARIZED HORN ANTENNA EXCITED BY A GAP-FED SQUARE PATCH

A NEW DUAL-POLARIZED HORN ANTENNA EXCITED BY A GAP-FED SQUARE PATCH Progress In Elecromagneics Research Leers, Vol. 21, 129 137, 2011 A NEW DUAL-POLARIZED HORN ANTENNA EXCITED BY A GAP-FED SQUARE PATCH S. Ononchimeg, G. Ogonbaaar, J.-H. Bang, and B.-C. Ahn Applied Elecromagneics

More information

= f 8 f 2 L C. i C. 8 f C. Q1 open Q2 close (1+D)T DT 2. i C = i L. Figure 2: Typical Waveforms of a Step-Down Converter.

= f 8 f 2 L C. i C. 8 f C. Q1 open Q2 close (1+D)T DT 2. i C = i L. Figure 2: Typical Waveforms of a Step-Down Converter. Inroducion Oupu Volage ipple in Sep-Down and Sep-Up Swiching egulaors Oupu volage ripple is always an imporan performance parameer wih DC-DC converers. For inducor-based swiching regulaors, several key

More information

Wideband characterization of the urban PCS channel

Wideband characterization of the urban PCS channel Wideband characerizaion of he urban PCS channel Aris L. Mousakas, Sridhar Arunachalam, Kam H. Wu and Howard Heller Wireless Advanced Technology Laboraory Lucen Technologies Bell Laboraories 67 Whippany

More information

Power losses in pulsed voltage source inverters/rectifiers with sinusoidal currents

Power losses in pulsed voltage source inverters/rectifiers with sinusoidal currents ree-wheeling diode Turn-off power dissipaion: off/d = f s * E off/d (v d, i LL, T j/d ) orward power dissipaion: fw/t = 1 T T 1 v () i () d Neglecing he load curren ripple will resul in: fw/d = i Lavg

More information

Comparative Analysis of SNR for Image Sensors with Enhanced Dynamic Range David X. D. Yang, Abbas El Gamal Information Systems Laboratory, Stanford Un

Comparative Analysis of SNR for Image Sensors with Enhanced Dynamic Range David X. D. Yang, Abbas El Gamal Information Systems Laboratory, Stanford Un Comparaive Analysis of SNR for Image Sensors wih Enhanced Dynamic Range David X. D. Yang, Abbas El Gamal Informaion Sysems Laboraory, Sanford Universiy ABSTRACT Dynamic range is a criical figure of meri

More information

A WIDEBAND RADIO CHANNEL MODEL FOR SIMULATION OF CHAOTIC COMMUNICATION SYSTEMS

A WIDEBAND RADIO CHANNEL MODEL FOR SIMULATION OF CHAOTIC COMMUNICATION SYSTEMS A WIDEBAND RADIO CHANNEL MODEL FOR SIMULATION OF CHAOTIC COMMUNICATION SYSTEMS Kalle Rui, Mauri Honanen, Michael Hall, Timo Korhonen, Veio Porra Insiue of Radio Communicaions, Helsini Universiy of Technology

More information

WIRELESS networks are growing rapidly as demand for

WIRELESS networks are growing rapidly as demand for IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL XX, NO XX, MONTH 009 Amplify-and-Forward Relay Neworks Under Received Power Consrain Alireza Shahan Behbahani, Suden Member, IEEE and A M Elawil, Member,

More information

Table of Contents. 3.0 SMPS Topologies. For Further Research. 3.1 Basic Components. 3.2 Buck (Step Down) 3.3 Boost (Step Up) 3.4 Inverter (Buck/Boost)

Table of Contents. 3.0 SMPS Topologies. For Further Research. 3.1 Basic Components. 3.2 Buck (Step Down) 3.3 Boost (Step Up) 3.4 Inverter (Buck/Boost) Table of Conens 3.0 SMPS Topologies 3.1 Basic Componens 3.2 Buck (Sep Down) 3.3 Boos (Sep Up) 3.4 nverer (Buck/Boos) 3.5 Flyback Converer 3.6 Curren Boosed Boos 3.7 Curren Boosed Buck 3.8 Forward Converer

More information

DAGSTUHL SEMINAR EPIDEMIC ALGORITHMS AND PROCESSES: FROM THEORY TO APPLICATIONS

DAGSTUHL SEMINAR EPIDEMIC ALGORITHMS AND PROCESSES: FROM THEORY TO APPLICATIONS DAGSTUHL SEMINAR 342 EPIDEMIC ALGORITHMS AND PROCESSES: FROM THEORY TO APPLICATIONS A Sysems Perspecive Pascal Felber Pascal.Felber@unine.ch hp://iiun.unine.ch/! Gossip proocols Inroducion! Decenralized

More information

Deblurring Images via Partial Differential Equations

Deblurring Images via Partial Differential Equations Deblurring Images via Parial Dierenial Equaions Sirisha L. Kala Mississippi Sae Universiy slk3@mssae.edu Advisor: Seh F. Oppenheimer Absrac: Image deblurring is one o he undamenal problems in he ield o

More information

Pattern compensation in SOA-based gates. Article (peer-reviewed)

Pattern compensation in SOA-based gates. Article (peer-reviewed) Tile Paern compensaion in SOA-based gaes Auhor(s) Webb, Rod P.; Dailey, James M.; Manning, Rober J. Publicaion dae 21 Original ciaion Type of publicaion Link o publisher's version Righs Webb, R.P., Dailey,

More information

MODEL: M6SXF1. POWER INPUT DC Power R: 24 V DC

MODEL: M6SXF1. POWER INPUT DC Power R: 24 V DC Tension-Clamp Ulra-Slim Signal Condiioners M6S Series FUNCTION MODULE (PC programmable) Funcions & Feaures Mainenance-free ension clamp connecion Single inpu filer and funcion module 12 ypes of funcions

More information

Estimating a Time-Varying Phillips Curve for South Africa

Estimating a Time-Varying Phillips Curve for South Africa Esimaing a Time-Varying Phillips Curve for Souh Africa Alain Kabundi* 1 Eric Schaling** Modese Some*** *Souh African Reserve Bank ** Wis Business School and VU Universiy Amserdam *** World Bank 27 Ocober

More information

MODEL: M6NXF1. POWER INPUT DC Power R: 24 V DC

MODEL: M6NXF1. POWER INPUT DC Power R: 24 V DC Screw Terminal Ulra-Slim Signal Condiioners M6N Series FUNCTION MODULE (PC programmable) Funcions & Feaures Single inpu filer and funcion module 12 ypes of funcions are PC programmable 7.5-mm wide ulra-slim

More information

Cycles of Technology, Natural Resources and Economic Growth

Cycles of Technology, Natural Resources and Economic Growth Cycles of Technology, Naural Resources and Economic Growh By Susanna Lundsröm Α Deparmen of Economics Göeborg Universiy June, 22 Β Prepared for he 22 World Congress of Environmenal and Resource Economiss,

More information

Channel Estimation for Wired MIMO Communication Systems

Channel Estimation for Wired MIMO Communication Systems Channel Esimaion for Wired MIMO Communicaion Sysems Final Repor Mulidimensional DSP Projec, Spring 2005 Daifeng Wang Absrac This repor addresses raining-based channel modeling and esimaion for a wired

More information