A Compressive Sensing Approach to Moving Target Indication for Urban Sensing.
In this paper, we apply compressive sensing to moving target indication for urban sensing and through-thewall imaging applications using stepped-frequency radar. In particular, we consider sparsity-driven imaging combined with change detection. Stationary targets and clutter are removed via change detection, resulting in a sparse scene of few slowmoving targets inside enclosed structures and behind walls. Using compressive sensing, a sizable reduction in the number of samples is achieved without degradation in system performance. Laboratory experiments are conducted to validate the proposed approach.
|Main Author:||Amin, Moeness.|
|Other Authors:||Ahmad, Fauzia., Zhang, Wenji.|
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