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See-Through Walls: Motion Tracking Using Variance-Based Radio Tomography Networks

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2 Author(s)
Wilson, J. ; Sensing & Process. Across Networks (SPAN) Lab., Univ. of Utah, Salt Lake City, UT, USA ; Patwari, N.

This paper presents a new method for imaging, localizing, and tracking motion behind walls in real time. The method takes advantage of the motion-induced variance of received signal strength measurements made in a wireless peer-to-peer network. Using a multipath channel model, we show that the signal strength on a wireless link is largely dependent on the power contained in multipath components that travel through space containing moving objects. A statistical model relating variance to spatial locations of movement is presented and used as a framework for the estimation of a motion image. From the motion image, the Kalman filter is applied to recursively track the coordinates of a moving target. Experimental results for a 34-node through-wall imaging and tracking system over a 780 square foot area are presented.

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Mobile Computing, IEEE Transactions on  (Volume:10 ,  Issue: 5 )