A Wireless Sensor Self-Localization Algorithm in NLOS Environment

被引：0
|
作者：
Xiao, Ying [1 ]
Li, Bingbing [1 ]
机构：
[1] Xidian Univ, Natl Key Lab ISN, Xian, Peoples R China
来源：
PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9 | 2009年
关键词：
LOCATION ESTIMATION;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Localization is an essential task for many applications in wireless sensor networks. In this paper, a novel wireless sensor self-localization algorithm is proposed. The algorithm selects the best geometric layout and introduces an improved Least Square(LS) estimator and iterative process which can significantly mitigate the Non-Line-of-Sight(NLOS) error, without knowing the covariance of measurement noise. Simulation results show the algorithm can provide better performance in comparison to the existing range-based schemes even under severe NLOS error environments.
引用
收藏
页码：4718 / 4722
页数：5
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