Partially sparse reconstruction of behind-the-wall scenes

Fauzia Ahmad; Moeness G. Amin

doi:10.1117/12.919527

8 June 2012 Partially sparse reconstruction of behind-the-wall scenes

Fauzia Ahmad, Moeness G. Amin

Proceedings Volume 8365, Compressive Sensing; 83650W (2012) https://doi.org/10.1117/12.919527
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

Abstract

In this paper, we apply the idea of partial sparsity to scene reconstruction associated with through-the-wall radar imaging of stationary targets. Partially sparse recovery considers the case when it is known a priori that the scene being imaged consists of two parts, one of which is sparse and the other is expected to be dense. More specifically, we consider the scene reconstruction problem involving a few stationary targets of interest when the building layout is assumed known. This implies that the support of the dense part of the image corresponding to the exterior and interior walls is known a priori. This knowledge may be available either through building blueprints or from prior surveillance operations. Using experimental data collected in a laboratory environment, we demonstrate the effectiveness of the partially sparse reconstruction of stationary through-the-wall scenes.

Citation Download Citation

Fauzia Ahmad and Moeness G. Amin "Partially sparse reconstruction of behind-the-wall scenes", Proc. SPIE 8365, Compressive Sensing, 83650W (8 June 2012); https://doi.org/10.1117/12.919527

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