Research on location solution based on Kalman filter algorithm

Bo Shao; Jian Wu; MingBo Ma; ChengLong Xue

doi:10.1117/12.2674754

28 April 2023 Research on location solution based on Kalman filter algorithm

Bo Shao, Jian Wu, MingBo Ma, ChengLong Xue

Proceedings Volume 12626, International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022); 126262A (2023) https://doi.org/10.1117/12.2674754
Event: International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022), 2022, Zhuhai, China

Abstract

The increasing perfection of BeiDou positioning system has increased the market of application terminals, but positioning accuracy has become a major problem for users. According to the advantages of Kalman Filtering algorithm, such as time continuity and noise reduction, this paper briefly introduces the principle of pseudo range positioning, introduces, simulates and analyzes the error of least square method and Kalman Filtering method, and proposes a traceless Kalman Filtering algorithm to improve the least square method for adaptive noise estimation. Through MATLAB simulation, the advantages and disadvantages of the algorithm performance are compared, and the feasibility of the algorithm in improving the positioning accuracy is verified.

Citation Download Citation

Bo Shao, Jian Wu, MingBo Ma, and ChengLong Xue "Research on location solution based on Kalman filter algorithm", Proc. SPIE 12626, International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022), 126262A (28 April 2023); https://doi.org/10.1117/12.2674754

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