We propose a new approach for target localization via correlated link inference. The proposed method takes advantage of the motion-induced difference of received signal strength(RSS) made in a wireless peer-to-peer network. By using the multipath channel model, the signal strength on a wireless link is largely dependent on the power contained in multipath components that travel through space containing moving targets. The effect of target obstruction is dominated by RSS attenuation and RSS enhancement. We locate targets by imaging both RSS attenuation and RSS enhancement. Experimental results with 14 nodes RF sensor network deployed in indoor office environment are presented.
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Kuang et al. (2011) studied this question.
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