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GNSS multipath suppression technology based on postcorrelation and independent component analysis

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  • Jian Xu
  • Jicheng Ding

Abstract

In urban and other complex environments, satellite navigation signals are vulnerable to multipath interference, especially medium- and short-delay multipath interference, which seriously affects the positioning accuracy. Aiming at the problem that the effect of traditional methods on medium and short multipath suppression is not obvious and it is difficult to accurately estimate the direction of arrival (DOA) when beamforming is used, a multipath suppression scheme based on a postcorrelation and independent component analysis (ICA) algorithm is proposed in this paper. First, the satellite navigation signal on each array element is despread and demodulated by postcorrelation technology to improve the signal-to-noise ratio (SNR), and then the direct signal component is directly extracted by the ICA algorithm to filter the noise while suppressing the multipath interference. Simulation results show that this method can effectively suppress medium and short multipath interference when the SNR of satellite navigation signals is as low as -30 dB, significantly improve the SNR of navigation messages and reduce the bit error rate, which provides a new solution for global navigation satellite system (GNSS) multipath suppression.

Suggested Citation

  • Jian Xu & Jicheng Ding, 2022. "GNSS multipath suppression technology based on postcorrelation and independent component analysis," PLOS ONE, Public Library of Science, vol. 17(4), pages 1-17, April.
    • Handle: RePEc:plo:pone00:0267216
    DOI: 10.1371/journal.pone.0267216
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