A Robust Weighted Intersection Algorithm for Target Localization using AOA Measurements

被引:0
作者
Kong, Fanzeng [1 ]
Wang, Jianhui [1 ]
Zheng, Nae [1 ]
Chen, Guojun [1 ]
Zheng, Jiaan [1 ]
机构
[1] Zhengzhou Inst Informat Sci & Technol, Zhengzhou, Peoples R China
来源
PROCEEDINGS OF 2016 IEEE ADVANCED INFORMATION MANAGEMENT, COMMUNICATES, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IMCEC 2016) | 2016年
基金
中国国家自然科学基金;
关键词
Loealization; Angle of Arrival (AOA); Wireless Sensor Network (WSN); Geometrie Dilution of Precision (GDOP); LOCATION;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The paper proposes a robust weighted intersection algorithm for target localization using AOA measurement (RWIAOA), RWIAOA algorithm mitigates the impact of singular bearing line intersection on AOA positioning algorithm based on weighted intersection. The algorithm proposed in this paper constructs corresponding bearing line and acquires the intersections of all bearing Iines according to the AOA measurements from an chor nodes (AN). It confirms valid intersection by utilizing circular error probability and determines the weights of the valid intersection according to GDOP. lt sums the weighted valid intersection and takes summation as the position estimation of blind node. The computing of GDOP in the paper considers the position error of ANs and makes it reflect the impact of ANs distribution on positioning accuracy. Simulation results show that compared with the existing algorithm, the given RWIAOA algorithm has higher positioning accuracy and better robustness.
引用
收藏
页码:23 / 28
页数:6
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