Special Section on Compressive Sensing for Imaging

Joint localization of stationary and moving targets behind walls using sparse scene recovery

[+] Author Affiliations
Jiang Qian

Villanova University, Center for Advanced Communications, Radar Imaging Laboratory, Villanova, Pennsylvania 19085

Fauzia Ahmad

Villanova University, Center for Advanced Communications, Radar Imaging Laboratory, Villanova, Pennsylvania 19085

Moeness G. Amin

Villanova University, Center for Advanced Communications, Radar Imaging Laboratory, Villanova, Pennsylvania 19085

J. Electron. Imaging. 22(2), 021002 (Jan 02, 2013). doi:10.1117/1.JEI.22.2.021002
History: Received August 15, 2012; Revised November 19, 2012; Accepted November 27, 2012
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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.

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Citation

Jiang Qian ; Fauzia Ahmad and Moeness G. Amin
"Joint localization of stationary and moving targets behind walls using sparse scene recovery", J. Electron. Imaging. 22(2), 021002 (Jan 02, 2013). ; http://dx.doi.org/10.1117/1.JEI.22.2.021002


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