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

Jiang Qian; Fauzia Ahmad; Moeness G. Amin

doi:10.1117/1.JEI.22.2.021002

2 January 2013 Joint localization of stationary and moving targets behind walls using sparse scene recovery

Jiang Qian, Fauzia Ahmad, Moeness G. Amin

Author Affiliations +

Journal of Electronic Imaging, Vol. 22, Issue 2, 021002 (January 2013). https://doi.org/10.1117/1.JEI.22.2.021002

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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Jiang Qian, Fauzia Ahmad, and Moeness G. Amin "Joint localization of stationary and moving targets behind walls using sparse scene recovery," Journal of Electronic Imaging 22(2), 021002 (2 January 2013). https://doi.org/10.1117/1.JEI.22.2.021002

Published: 2 January 2013

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