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Journal of Electronic Imaging

Joint localization of stationary and moving targets behind walls using sparse scene recovery
Author(s): Jiang Qian; Fauzia Ahmad; Moeness G. Amin
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Paper Abstract

We consider sparsity-driven joint localization of stationary and moving targets inside enclosed structures using a reduced set of spatial-fast time-slow time observations in ultra-wideband (UWB) pulsed radar platforms. We exploit the compact temporal support of the UWB signal to suppress the front wall clutter through time gating. The resulting enhancement in the signal-to-clutter ratio enables application of compressive sensing (CS) for scene reconstruction. We establish an appropriate signal model that permits formulation of linear modeling with sensing matrices so as to achieve efficient CS-based localization of stationary and moving targets in the downrange-crossrange-velocity space. We demonstrate the effectiveness of the proposed scheme using real data collected in a laboratory environment.

Paper Details

Date Published: 2 January 2013
PDF: 11 pages
J. Electron. Imag. 22(2) 021002 doi: 10.1117/1.JEI.22.2.021002
Published in: Journal of Electronic Imaging Volume 22, Issue 2
Show Author Affiliations
Jiang Qian, Villanova Univ. (United States)
Fauzia Ahmad, Villanova Univ. (United States)
Moeness G. Amin, Villanova Univ. (United States)

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