A Novel Multi-Antenna Based Non-Line-of-Sight Error Mitigating Algorithm

Xiaoxuan Zhu, Mingyang Shi, Xiaoguang Wu, Xiaofeng Tao, Ping Zhang
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Abstract

The Non-Line-of-Sight (NLOS) propagation effect has been considered as one of the most important issues in the location estimation especially in urban environment with serious blocking of direct paths. In this paper, we develop a new algorithm to mitigate the NLOS errors in location estimation by distributed multi-antenna. Utilizing the relativity between TOAs obtained from different antennas in a multi-antenna array, the positions of scatterers that cause the NLOS propagation, as well as the distances between mobile stations (MSs) and scatterers, are estimated. Then with appropriate location algorithm, the locations of MSs are obtained with information of scatterers. Simulation results show that this algorithm can mitigate NLOS errors effectively and improve the performance of TOA/TDOA based location algorithm in NLOS environment significantly.
一种新的基于多天线的非视距误差抑制算法
非视距(NLOS)传播效应一直被认为是定位估计中最重要的问题之一,特别是在城市环境中直接路径严重阻塞的情况下。本文提出了一种新的算法来减轻分布式多天线定位估计中的NLOS误差。利用多天线阵列中不同天线获得的toa之间的相关性,估计了引起NLOS传播的散射体的位置以及移动台与散射体之间的距离。然后,通过适当的定位算法,利用散射体的信息,得到MSs的位置。仿真结果表明,该算法能有效地缓解非近距离定位误差,显著提高了基于TOA/TDOA的非近距离定位算法在非近距离定位环境下的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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