Cramer-Rao Bound Analysis of Localization Using Signal Strength Difference as Location Fingerprint

被引：0
作者：
Hossain, A. K. M. Mahtab [1 ]
Soh, Wee-Seng [1 ]
机构：
[1] Natl Univ Singapore, Dept Elect & Comp Engn, Singapore 117548, Singapore
来源：
2010 PROCEEDINGS IEEE INFOCOM | 2010年
关键词：
Positioning Systems; Indoor Localization; Location Fingerprint; Cramer-Rao Lower Bound; Signal Strength;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we analyze the Cramer-Rao Lower Bound (CRLB) of localization using Signal Strength Difference (SSD) as location fingerprint. This analysis has a dual purpose. Firstly, the properties of the bound on localization error may help in designing efficient localization algorithms. For example, utilizing one of the properties, we propose a way to define weights for a weighted kappa-Nearest Neighbor (kappa-NN) scheme which is shown to perform better than the kappa-NN algorithm. Secondly, it provides suggestions for a positioning system design by revealing error trends associated with the system deployment. In both cases, detailed analysis as well as experimental results are presented in order to support our claims.
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页数：9
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