Cramér-Rao bound analysis of localization using signal strength difference as location fingerprint

Authors:
A. K. M. Mahtab Hossain;Wee-Seng Soh
Affiliations:
Department of Electrical & Computer Engineering, National University of Singapore, Singapore;Department of Electrical & Computer Engineering, National University of Singapore, Singapore
Venue:
INFOCOM'10 Proceedings of the 29th conference on Information communications
Year:
2010

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Abstract

In this paper, we analyze the Cramér-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 K-Nearest Neighbor (K-NN) scheme which is shown to perform better than the K-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.