Single base station positioning based on multipath parameter clustering in NLOS environment

EURASIP Journal on Advances in Signal Processing

Liangbo Xie¹  Wei Nie¹  Qihong Wu¹  Xiaolong Yang¹  Mu Zhou¹  Yong Wang¹ 

[1] School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China;

关键词: Single base station positioning;    NLOS;    Multipath signal;    Parameter clustering;    Levenberg-Marquardt algorithm;   

DOI  :  10.1186/s13634-021-00729-3

来源: Springer

【 摘 要 】

This paper proposes a scattering area model for processing multipath parameters achieve single base station positioning. First of all, we construct a scattering area model based on the spatial layout of obstacles near the base station and then collect the multipath signals needed for positioning and extract parameters. Second, we use the joint clustering algorithm improved by k-means clustering and mean shift clustering algorithm to process the parameters and extract useful information. Third, the processed information is combined with the spatial layout information of the scattering area model to construct equations, and then the solving problem of equations is converted into a least-squares optimization problem. Finally, the Levenberg-Marquardt (LM) algorithm is used to solve the optimal solution and estimate the mobile target position. The simulation results show that the positioning algorithm in this paper can be used by a single base station to locate the target in an outdoor non-line-of-sight (NLOS) environment, and the accuracy is improved compared with the traditional positioning algorithm.

【 授权许可】

CC BY