Abstract
In order to improve the positioning accuracy when the BDS signals are blocked and disturbed in complex urban environments, a WLAN-aided BDS location algorithm to fuse the location information of BDS and WLAN by federated Kalman filter is proposed in this paper. Firstly, the system state was modeled by analyzing the movement features, and the BDS observation equation is established based on pseudo-range and Doppler shift equation. Then, the WLAN observation equation is established by analyzing the fingerprinting location algorithm. Finally, the global optimum estimation of position and velocity is obtained by the principal Kalman filter. The experimental results show that this method could improve the location accuracy of BDS with better robustness in complex urban environment.
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Li, D., Wei, Z., Zhao, J., Ma, Z., Liu, Y. (2017). WLAN-Aided BDS Location Algorithm. In: Sun, J., Liu, J., Yang, Y., Fan, S., Yu, W. (eds) China Satellite Navigation Conference (CSNC) 2017 Proceedings: Volume II. CSNC 2017. Lecture Notes in Electrical Engineering, vol 438. Springer, Singapore. https://doi.org/10.1007/978-981-10-4591-2_34
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DOI: https://doi.org/10.1007/978-981-10-4591-2_34
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