21 May 2015 RF tomography of metallic objects in free space: preliminary results
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Abstract
RF tomography has great potential in defense and homeland security applications. A distributed sensing research facility is under development at Air Force Research Lab. To develop a RF tomographic imaging system for the facility, preliminary experiments have been performed in an indoor range with 12 radar sensors distributed on a circle of 3m radius. Ultra-wideband pulses are used to illuminate single and multiple metallic targets. The echoes received by distributed sensors were processed and combined for tomography reconstruction. Traditional matched filter algorithm and truncated singular value decomposition (SVD) algorithm are compared in terms of their complexity, accuracy, and suitability for distributed processing. A new algorithm is proposed for shape reconstruction, which jointly estimates the object boundary and scatter points on the waveform’s propagation path. The results show that the new algorithm allows accurate reconstruction of object shape, which is not available through the matched filter and truncated SVD algorithms.
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Jia Li, Robert L. Ewing, Charles Berdanier, Christopher Baker, "RF tomography of metallic objects in free space: preliminary results", Proc. SPIE 9461, Radar Sensor Technology XIX; and Active and Passive Signatures VI, 94610S (21 May 2015); doi: 10.1117/12.2176995; https://doi.org/10.1117/12.2176995
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