Probability Weighting Localization Algorithm Based on NLOS Identification in Wireless Network

被引：4

作者：

Wu, Shixun ^{[1
]}

Zhang, Shengjun ^{[1
]}

Xu, Kai ^{[1
]}

Huang, Darong ^{[1
]}

机构：

[1] Chongqing Jiaotong Univ, Informat Sci & Engn Coll, 66 Xuefu Rd, Chongqing 400074, Peoples R China

来源：

WIRELESS COMMUNICATIONS & MOBILE COMPUTING | 2019年 / 2019卷

关键词：

LOCATION; TOA; AOA;

D O I：

10.1155/2019/2707469

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, a localization scenario that the home base station (BS) measures time of arrival (TOA) and angle of arrival (AOA) while the neighboring BSs only measure TOA is investigated. In order to reduce the effect of non-line of sight (NLOS) propagation, the probability weighting localization algorithm based on NLOS identification is proposed. The proposed algorithm divides these range and angle measurements into different combinations. For each combination, a statistic whose distribution is chi-square in LOS propagation is constructed, and the corresponding theoretic threshold is derived to identify each combination whether it is LOS or NLOS propagation. Further, if those combinations are decided as LOS propagation, the corresponding probabilities are derived to weigh the accepted combinations. Simulation results demonstrate that our proposed algorithm can provide better performance than conventional algorithms in different NLOS environments. In addition, computational complexity of our proposed algorithm is analyzed and compared.

引用

页数：8

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