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Issue No.05 - May (2010 vol.9)
pp: 621-632
Joey Wilson , University of Utah, Salt Lake City
Neal Patwari , University of Utah, Salt Lake City
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.
Wireless, sensor networks, inverse filtering, linear systems, applications.
Joey Wilson, Neal Patwari, "Radio Tomographic Imaging with Wireless Networks", IEEE Transactions on Mobile Computing, vol.9, no. 5, pp. 621-632, May 2010, doi:10.1109/TMC.2009.174
[1] M. Skolnik, Introduction to Radar Systems. McGraw-Hill, 1980.
[2] A.C. Kak and M. Slaney, Principles of Computerized Tomographic Imaging. IEEE, 1988.
[3] A. Hunt, C. Tillery, and N. Wild, "Through-the-Wall Surveillance Technologies," Corrections Today, vol. 63, July 2001.
[4] D. Estrin, R. Govindan, and J. Heidemann, "Embedding the Internet," Comm. ACM, vol. 43, pp. 38-41, May 2000.
[5] "Time Domain Corporation," http:/, 2009.
[6] "Cambridge Consultants," http:/www.cambridgeconsultants. com , 2009.
[7] "Camero Tech," http:/, 2009.
[8] A.R. Hunt, "Image Formation through Walls Using a Distributed Radar Sensor Network," Proc. SPIE Conf. Sensors, and Command, Control, Comm., and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense IV, pp. 169-174, May 2005.
[9] S.L. Coetzee, C.J. Baker, and H. Griffiths, "Narrow Band High Resolution Radar Imaging," Proc. IEEE Conf. Radar, pp. 24-27, Apr. 2006.
[10] H. Griffiths and C. Baker, Radar Imaging for Combating Terrorism, NATO Advanced Study Inst., imaging2006 lecturers.html, 2006.
[11] M.C. Wicks, B. Himed, L.J.E. Bracken, H. Bascom, and J. Clancy, "Ultra Narrow Band Adaptive Tomographic Radar," Proc. First IEEE Int'l Workshop Computational Advances in Multi-Sensor Adaptive Processing, Dec. 2005.
[12] M.C. Wicks, "RF Tomography with Application to Ground Penetrating Radar," Proc. 41st Asilomar Conf. Signals, Systems and Computers, pp. 2017-2022, Nov. 2007.
[13] A.M. Haimovich and R.S. Blum, L.J.C.Jr, "MIMO Radar with Widely Separated Antennas," IEEE Signal Processing Magazine, vol. 25, no. 1, pp. 116-129, Jan. 2008.
[14] M. Youssef, M. Mah, and A. Agrawala, "Challenges: Device-Free Passive Localization for Wireless Environments," Proc. ACM MobiCom, pp. 222-229, Sept. 2007.
[15] N. Patwari and P. Agrawal, "Effects of Correlated Shadowing: Connectivity, Localization, and RF Tomography," Proc. IEEE/ACM Int'l Conf. Information Processing in Sensor Networks (IPSN '08), Apr. 2008.
[16] P. Agrawal and N. Patwari, "Correlated Link Shadow Fading in Multi-Hop Wireless Networks," IEEE Trans. Wireless Comm., vol. 8, no. 8, pp. 4024-4036, Aug. 2009.
[17] R.J. Bultitude, "Measurement, Characterization, and Modeling of Indoor 800/900 MHz Radio Channels for Digital Communications," IEEE Comm. Magazine, vol. 25, no. 6, pp. 5-12, June 1987.
[18] R. Ganesh and K. Pahlavan, "Effects of Traffic and Local Movements on Multipath Characteristics of an Indoor Radio Channel," IEE Electronics Letters, vol. 26, no. 12, pp. 810-812, 1990.
[19] J. Roberts and J. Abeysinghe, "A Two-State Rician Model for Predicting Indoor Wireless Communication Performance," Proc. IEEE Int'l Conf. Comm. (ICC '95), vol. 1, pp. 40-43, 1995.
[20] A.P. Dempster, N.M. Laird, and D.B. Rubin, "Maximum Likelihood from Incomplete Data via the EM Algorithm," J. Royal Statistical Soc., Series B (Methodological), vol. 39, no. 1, pp. 1-38, 1977.
[21] H.L. Van Trees, Detection, Estimation, and Modulation Theory. John Wiley and Sons, 1968.
[22] A. Swami and B.M. Sadler, "On Some Detection and Estimation Problems in Heavy-Tailed Noise," Signal Processing, vol. 82, no. 12, pp. 1829-1846, 2002.
[23] B. Ripley, Spatial Statistics. Wiley, 1981.
[24] C.R. Vogel, Computational Methods for Inverse Problems. SIAM, 2002.
[25] G. Demoment, "Image Reconstruction and Restoration: Overview of Common Estimation Structures and Problems," IEEE Trans. Acoustics Speech and Signal Processing, vol. 37 no. 12, pp. 2024-2036, Dec. 1989.
[26] J. Wilson and N. Patwari, "Radio Tomographic Imaging with Wireless Networks," technical report, Univ. of Utah, Sensing and Processing Across Networks Lab, 2008.
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