Networking

Orientation-Aware Indoor Localization Using Affinity Propagation and Compressive Sensing

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Executive Summary

The sparse nature of location finding makes it desirable to exploit the theory of compressive sensing for indoor localization. In this paper, the authors propose a Received Signal Strength (RSS)-based localization scheme in Wireless Local Area Networks (WLANs) using the theory of Compressive Sensing (CS), which offers accurate recovery of sparse signals from a small number of measurements by solving an ??"1-minimization problem. In order to mitigate the effects of RSS variations due to channel impediments and mobile device orientation, a two-step localization scheme is proposed by exploiting affinity propagation for coarse localization followed by a CS-based fine localization to further improve the accuracy.

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