Multipath mitigation of GPS signal using sequential Monte-Carlo filter

Ɖogatović, Marko; Stanojević, Milorad J.

doi:10.1109/telsks.2009.5339420

Cited by 2 publications

(1 citation statement)

References 5 publications

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“…where, T c  977.5 ns denotes a period of one chip in spreading sequence, N = 1023 is length of the code sequence and g(t) denotes a chip-shaping pulse [1], [2].…”

Section: Received Signal Modelmentioning

confidence: 99%

Bayesian-based MEDLL for the GPS Signal Tracking

Djogatovic

Stanojević

2012

ElAEE

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In the satellite navigation systems, distortion of a received signal correlation function, due to the multipath propagation, can gravely degrade position estimation. The positioning accuracy is strongly affected by the quality of the received signal delay estimations. In the paper we propose a Bayesian-based extension of the MEDLL algorithm capable of estimating the parameters of the line-of-sight (LOS) signal and the multipath signals. The new algorithm takes into account statistical properties of the LOS signal and the reflected signals to find a Bayesian solution for the parameters.

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“…where, T c  977.5 ns denotes a period of one chip in spreading sequence, N = 1023 is length of the code sequence and g(t) denotes a chip-shaping pulse [1], [2].…”

Section: Received Signal Modelmentioning

confidence: 99%

Bayesian-based MEDLL for the GPS Signal Tracking

Djogatovic

Stanojević

2012

ElAEE

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Sequential Ambiguity Resolution Method for Poorly-Observed GNSS Data

Nie

et al. 2021

Remote Sensing

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Integer ambiguity resolution is required to obtain precise coordinates for the global navigation satellite system (GNSS). Poorly observed data cause unfixed integer ambiguity and reduce the coordinate accuracy. Previous studies mostly used denoise filters and partial ambiguity resolution algorithms to address this problem. This study proposes a sequential ambiguity resolution method that includes a float solution substitution process and a double-difference (DD) iterative correction equation process. The float solution substitution process updates the initial float solution, while the DD iterative correction equation process is used to eliminate the residual biases. The satellite-selection experiment shows that the float solution substitution process is adequate to obtain a more accurate float solution. The iteration-correction experiment shows that the double-difference iterative correction equation process is feasible with an improvement in the ambiguity success rate from 28.4% to 96.2%. The superiority experiment shows significant improvement in the ambiguity success rate from 36.1% to 83.6% and a better baseline difference from about 0.1 m to 0.04 m. It is proved that the proposed sequential ambiguity resolution method can significantly optimize the results for poorly-observed GNSS data.

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Multipath mitigation of GPS signal using sequential Monte-Carlo filter

Cited by 2 publications

References 5 publications

Bayesian-based MEDLL for the GPS Signal Tracking

Bayesian-based MEDLL for the GPS Signal Tracking

Sequential Ambiguity Resolution Method for Poorly-Observed GNSS Data

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