Polyphase Decomposition Based Space Frequency Adaptive Processing in Antenna Array GNSS Receivers

Xiangming Chang, Xiaowei Cui, Mingquan Lu, Jian Wen

Abstract: Adaptive array signal processing can effectively enhance the global navigation satellite system (GNSS) receiver’s performance in challenging environments with radio interference and multipath. However, it may introduce significant distortion on the crosscorrelation functions, leading to biases in code phase and carrier phase. For high accuracy GNSS applications, these biases must be mitigated. The most challenge for current anti-jamming solutions is that they are fairly sensitive to manifold errors, especially for code phase. In this paper, a novel algorithm referred as Polyphase Decomposition Based Space Frequency Adaptive Processing (PD-SFAP) is proposed to suppress interferences and reduce the measurement biases. Theoretical and numerical simulations verify the superiority of the proposed algorithm.
Published in: Proceedings of the 2020 International Technical Meeting of The Institute of Navigation
January 21 - 24, 2020
Hyatt Regency Mission Bay
San Diego, California
Pages: 1021 - 1029
Cite this article: Chang, Xiangming, Cui, Xiaowei, Lu, Mingquan, Wen, Jian, "Polyphase Decomposition Based Space Frequency Adaptive Processing in Antenna Array GNSS Receivers," Proceedings of the 2020 International Technical Meeting of The Institute of Navigation, San Diego, California, January 2020, pp. 1021-1029.
https://doi.org/10.33012/2020.17194
Full Paper: ION Members/Non-Members: 1 Download Credit
Sign In