Maximum-Likelihood GPS Parameter Estimation

Progri, Ilir F.; Bromberg, Matthew C.; Michalson, William R.

doi:10.1002/j.2161-4296.2005.tb00365.x

Cited by 21 publications

(44 citation statements)

References 9 publications

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“…The comprehensive carrier phase changing effect in a huge number of paths can also be modelled as the multiplicative noise. Moreover, the additive and multiplicative noise in the GPS signals has been modelled (Progri et al, 2006). However, there is little discussion on how to acquire GPS signals degraded by both multiplicative and additive noises.…”

Section: P H U a N G A N D O T H E R Smentioning

confidence: 99%

“…The GPS C/A-code waveform transmitted from a kth GPS satellite, on the L 1 , L 2 , or L 5 frequencies, x k (t k ) is given by (Progri et al, 2006):…”

Section: Cyclostationarity Feature Of the Gps Signal Under Multiplicamentioning

confidence: 99%

“…In Figure 1, there are quite a lot of factors which induce GPS signal VOL. 66 fading, Doppler, evil waveform spurious transmissions, shadowing (foliage etc.,), signal jamming, antenna and receiver effects, ionospheric scintillations, tropospheric scintillation, high dense multipath, etc., (Progri 2003(Progri , 2011(Progri , 2013Progri et al, 2006;Ma et al, 2001). Doppler shift degrades the GPS signal continuously due to the GPS satellite motion.…”

Section: Introductionmentioning

confidence: 99%

“…The troposphere also degrades the GPS signal; this effect is caused by tropospheric water particles. Such effects caused by tropospheric scintillation can be modelled as the decrease in the GPS signal amplitude and time delay (Progri, 2003;Progri et al, 2006). Degradation effects have been widely studied and so have good and successful approximation models.…”

Section: Introductionmentioning

confidence: 99%

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GPS Signal Detection under Multiplicative and Additive Noise

Huang

Progri³

2012

J. Navigation

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In some Global Positioning System (GPS) signal propagation environments, especially in the ionosphere and urban areas with heavy multipath, GPS signal encounters not only additive noise but also multiplicative noise. In this paper we compare and contrast the conventional GPS signal acquisition method which focuses on handling GPS signal acquisition with additive noise, with the enhanced GPS signal processing under multiplicative noise by proposing an extension of the GPS detection mechanism, to include the GPS detection model that explains detection of the GPS signal under additive and multiplicative noise. For this purpose, a novel GPS signal detection scheme based on high order cyclostationarity is proposed. The principle is introduced, the GPS signal detection structure is described, the ambiguity of initial PseudoRandom Noise (PRN) code phase and Doppler shift of GPS signal is analysed. From the simulation results, the received GPS signal at low power level, which is degraded by additive and multiplicative noise, can be detected under the condition that the received block of GPS data length is at least 1·6 ms and sampling frequency is at least 5 MHz. K E Y WO R D S 1. Weak GPS Signal Acquisition.2. Multiplicative Noise. 3. Doppler shift. 4. Cyclostationarity.

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Section: P H U a N G A N D O T H E R Smentioning

confidence: 99%

“…The GPS C/A-code waveform transmitted from a kth GPS satellite, on the L 1 , L 2 , or L 5 frequencies, x k (t k ) is given by (Progri et al, 2006):…”

Section: Cyclostationarity Feature Of the Gps Signal Under Multiplicamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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GPS Signal Detection under Multiplicative and Additive Noise

Huang

Progri³

2012

J. Navigation

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“…Moreover, more sophisticated receiver acquisition and tracking algorithms must be developed and implemented one of which is discussed in our previous papers [14].…”

Section: Introductionmentioning

confidence: 99%

GPS L5 Signal Acquisition and Tracking under Unintentional Interference or Jamming

Progri¹

2017

J. Geolo. Geo-inf. Geo-int.

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Moreover, if the acquisition of the P(Y) code is lost, due to reasons that are explained in the paper, then the reacquisition of the P(Y) code will again depend on the acquisition and tracking of the C/A code. Therefore, for most commercially available receivers, the reliable acquisition and tracking of the C/A code is critical for the entire operation of a GPS receiver.However, it is well-known the vulnerability of the GPS C/A code signal acquisition to unintentional interference or jamming. The main theme of this paper is the reexamination of the GPS C/A code signal acquisition and tracking under the situation of the unintentional interference or jamming. A variety of jamming signals are considered such as: periodic, deterministic; aperiodic, deterministic; and noisy type signals or non-deterministic.However, the majority of vendors are still producing correlator type receivers. As shown by the simulation results of this paper and other previous publications a sliding correlator type of receiver used to acquire and track the C/A code or L 5 code can be easily jammed by a similar C/A code replica or L 5 code replica at power levels 10 dB or higher above noise power. GAMES, GILS, and GIANT are not the most economically viable solutions in the market to handle GPS protection of the civilian receivers. A maximum likelihood GPS receiver, which considers all the signals in the environment, can be used to acquire and track successfully the C/A and the L 5 GPS signals when the jamming signal power are in the range or 10 dB or higher above the noise power. In summary, the direction of designing acquisition and tracking receivers for future C/A L 1 code or L 5 GPS signals should go towards joint signal 20 Journal of Geolocation, Geo-information, and Geo-intelligence acquisition and tracking. There are three main challenges with these types of receivers: algorithm complexity, computational power, and test with real data. All these remain to be studied and analyzes further in the future. I think it is going to be a breakthrough in the state of the art of GPS receivers when these algorithms are ultimately implemented and a lot more work is required to arrive at that point which some of it is going to be published in future publications.

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Markov Chain, Monte Carlo Global Search and Integration for Bayesian, GPS, Parameter Estimation

Progri

Bromberg²,

Wang

2009

Navigation

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Bayesian estimation techniques are applied to the problem of time and frequency offset estimation for Global Positioning System receivers. The estimation technique employs Markov Chain Monte Carlo (MCMC) to estimate unknown system parameters, utilizing a novel, multi-dimensional, Bayesian, global optimization strategy for initializing a Metropolis-Hastings proposal distribution. The technique enables the design of a high performance multi-user GPS receiver, capable of overcoming the near-far problem when the relative signal power is on the order of 5 dB (single antenna element) and 20 dB (4 antenna element array) and providing dramatically improved performance over conventional matched filter techniques against interference and jamming when the relative jammer and satellite signal power is on the order of 20 dB (4 antenna element array).

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Maximum-Likelihood GPS Parameter Estimation

Cited by 21 publications

References 9 publications

GPS Signal Detection under Multiplicative and Additive Noise

GPS Signal Detection under Multiplicative and Additive Noise

GPS L5 Signal Acquisition and Tracking under Unintentional Interference or Jamming

Markov Chain, Monte Carlo Global Search and Integration for Bayesian, GPS, Parameter Estimation

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