BDS urban positioning based on improved sparse estimation

Junming Xie; Yu Xin; Rui Guo; Zhenni Li; Qianming Wang

doi:10.1117/12.3010423

15 November 2023 BDS urban positioning based on improved sparse estimation

Junming Xie, Yu Xin, Rui Guo, Zhenni Li, Qianming Wang

Proceedings Volume 12815, International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023); 128152F (2023) https://doi.org/10.1117/12.3010423
Event: International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023), 2023, Kaifeng, China

Abstract

In the urban environment, multipath (MP) interference and non-line-of-sight (NLOS) reception are the main factors leading to the positioning deviation of the Beidou Navigation Satellite system. At present, double difference and sparse estimation are widely used to estimate the uncorrelated errors caused by MP interference and NLOS reception, but the identification of uncorrelated errors for general distributions is still limited. In this paper, to improve the recognition ability of MP interference and NLOS reception, we consider the comprehensiveness of the evaluation indicators and design a weighting matrix based on the dual-satellite carrier to noise ratio (C/N0) and single-satellite elevation and combine it with sparse estimation. In addition, to eliminate the estimated uncorrelated errors conforming to the general distribution, we employ the extended Kalman filter method to transform them into linear distributions and obtain the results of eliminating the errors. The experimental results show that the proposed method can improve the accuracy of position and speed by up to 28.12% and 93.47% compared with the existing double difference positioning and avoid the problem of local migration.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Junming Xie, Yu Xin, Rui Guo, Zhenni Li, and Qianming Wang "BDS urban positioning based on improved sparse estimation", Proc. SPIE 12815, International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023), 128152F (15 November 2023); https://doi.org/10.1117/12.3010423

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KEYWORDS

Satellites

Receivers

Matrices

Non-line-of-sight propagation

Error analysis

Signal filtering

Doppler effect

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