Radio Tomographic Imaging with Wireless Networks

  • Authors:
  • Joey Wilson;Neal Patwari

  • Affiliations:
  • University of Utah, Salt Lake City;University of Utah, Salt Lake City

  • Venue:
  • IEEE Transactions on Mobile Computing
  • Year:
  • 2010

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Abstract

Radio Tomographic Imaging (RTI) is an emerging technology for imaging the attenuation caused by physical objects in wireless networks. This paper presents a linear model for using received signal strength (RSS) measurements to obtain images of moving objects. Noise models are investigated based on real measurements of a deployed RTI system. Mean-squared error (MSE) bounds on image accuracy are derived, which are used to calculate the accuracy of an RTI system for a given node geometry. The ill-posedness of RTI is discussed, and Tikhonov regularization is used to derive an image estimator. Experimental results of an RTI experiment with 28 nodes deployed around a 441 square foot area are presented.