Improved Hybrid ToA/AoA Location Algorithm in NLoS Environments for Wireless Sensor Networks

被引：0
|
作者：
Zhao Junhui [1 ,2 ,3 ]
Zhao Cong [2 ,3 ]
机构：
[1] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China
[2] Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China
[3] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Jiangsu, Peoples R China
来源：
CHINA COMMUNICATIONS | 2011年 / 8卷 / 08期
基金：
中国国家自然科学基金;
关键词：
WSN; location technique; Gauss-Newton algorithm; grid search; NLoS; ToA; AoA;
D O I：
暂无
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
An improved hybrid Tine of Arrival (ToA)/Angle of Arrival (AoA) location algorithm by adopting Gauss-Newton iterative algorithm is proposed. It is with the advantage of fast convergence and combining with the grid-search-based method to optimize the initial object coordinates of the iteration, mean-while, under the condition of small measurement errors caused by noises of ToA and AoA, the algorithm performance can be improved effectively. In the Non-Line-of-Sight (NLoS) environments of the Wireless Sensor Network (WSN), simulation results show that improved accuracy is gained with moderate flexibility and fast steady convergence compared with the existing algorithms.
引用
收藏
页码：106 / 110
页数：5
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