Cooperative localization algorithm based on reference selection of selective weighting ILS technique

被引：1
作者：
Gazzah, Leïla [1 ]
Najjar, Leïıla [1 ]
机构：
[1] Lab. COSIM, Higher School of Communication of Tunis, Carthage University Tunisia
来源：
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 2014年 / 8458卷
关键词：
Cooperative localization; Iterative Leastsquares; Radio Signal Strength; Reference selection; Selective; Weighting;
D O I：
10.1007/978-3-319-13174-0_10
中图分类号：
O24 [计算数学];
学科分类号：
070102 ;
摘要：
The choice of the reference node in the Least Squares (LS) approach based on received signal strength (RSS) is an important aspect that can have a significant impact on localization accuracy. Recently, a LS selective and weighting approach was proposed in the non cooperative frame for localization in NLOS environments. In this paper, we rather consider the cooperative scenario and we optimize the reference node choice. By analyzing the objective function of LS algorithm, a new cooperative method for selecting the reference node is proposed, which selects the reference node based on two existing algorithms for reference selection (RS) minimum residual and residual weighting for reference selection (RS) to form a new algorithm which we denote Cooperative- Rwgh-RS. Using numerical results, we demonstrate the impact of the proposed cooperative method and the node selection procedure on the localization accuracy. © Springer International Publishing Switzerland 2014.
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收藏
页码：122 / 133
页数：11
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