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Proceedings Paper

RF tomography of metallic objects in free space: preliminary results
Author(s): Jia Li; Robert L. Ewing; Charles Berdanier; Christopher Baker
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Paper 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.

Paper Details

Date Published: 21 May 2015
PDF: 7 pages
Proc. SPIE 9461, Radar Sensor Technology XIX; and Active and Passive Signatures VI, 94610S (21 May 2015); doi: 10.1117/12.2176995
Show Author Affiliations
Jia Li, Oakland Univ. (United States)
Robert L. Ewing, Air Force Research Lab. (United States)
Charles Berdanier, Air Force Research Lab. (United States)
Christopher Baker, The Ohio State Univ. (United States)


Published in SPIE Proceedings Vol. 9461:
Radar Sensor Technology XIX; and Active and Passive Signatures VI
G. Charmaine Gilbreath; Kenneth I. Ranney; Armin Doerry; Chadwick Todd Hawley, Editor(s)

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