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. |
| Format: | |
| Language: | English |
| Published: |
2011
|
| Online Access: |
http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:173030 |