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铁路通信信号工程技术 ›› 2024, Vol. 21 ›› Issue (5): 81-89,128.DOI: 10.3969/j.issn.1673-4440.2024.05.014

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面向地铁施工环境的残差加权定位算法

王丽君1,蒋 锐2,杜晓伟2,李大鹏2   

  1. 1.中铁十九局集团电务工程有限公司,北京 102600;
    2.南京邮电大学通信与信息工程学院,南京 210003
  • 收稿日期:2024-01-19 修回日期:2024-05-10 出版日期:2024-05-25 发布日期:2024-05-25
  • 作者简介:王丽君(1985—),男,高级工程师,本科,主要研究方向:机电一体化、传感器定位,邮箱:18796040577@139.com。
  • 基金资助:
    国家自然科学基金项目(No.62271266)

Residual Weighting Algorithm for Position Estimation Subway Construction Environment#br#

Wang Lijun1,  Jiang Rui2,  Du Xiaowei2,  Li Dapeng2   

  1. 1. China Railway 19th Bureau Group Electric Engineering Co., Ltd, Beijing    102600, China;
    2.School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing    210003, China
  • Received:2024-01-19 Revised:2024-05-10 Online:2024-05-25 Published:2024-05-25

摘要: 在地铁施工环境中,进行地下室内定位,非视距误差是影响位置估计稳定性与准确性的一个重要因素。目前已经出现一些技术可以消除一定的非视距误差,但往往都需要关于非视距信道条件的先验信息。提出一种改进的残差加权位置估计算法(Developed residual weighting algorithm,D-rwgh),该算法基于最小残差原则,通过前一轮的计算不断剔除产生误差最大的基站,然后将不同基站数对应的位置估计进行残差加权,加权结果即为最终的定位结果。实验结果表明,该算法无需信道的先验信息,且在非视距传播环境下具有较好的定位精度。

关键词: 到达时间差, 最小残差原则, 加权, 非视距误差

Abstract: For the underground indoor positioning in the subway construction environment, the Non-Line-Of-Sight (NLOS) error is an important influencing factor for the stability and accuracy of position estimation. Some existing techniques can eliminate NLOS errors to some extent, but these techniques often require priori information about NLOS channel conditions. This paper proposes a Developed residual weighting algorithm (D-rwgh) for position estimation based on the minimum residual principles. The proposed algorithm continuously rejects the base station with the largest error through the previous round of calculation, then conducts residual weighting for the position estimation corresponding to the number of base stations, and finally takes the weighting result as the final positioning result. The test results show the proposed algorithm does not need priori information about channel conditions, and has high positioning accuracy in the NLOS environment.

Key words: arrival time difference, minimum residual principle, weighting, non-line-of-sight error

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