Improved Target Detection in Urban Structures Using Distributed Sensing and Fast Data Acquisition Techniques

Abstract : We introduce detection techniques of targets behind walls and inside enclosed structures. These techniques rely on the intensity histogram distinctions between targets and clutter and perform iterative thresholding to achieve desirable probabilities of detection and false alarm. We propose wall clutter mitigation techniques based on wall strong specular reflection as compared to target diffuse multipath characteristics. Multipath exploitation techniques are developed to eliminate ghosts and increase target to clutter ratio. Fast data acquisition is performed by reducing frequencies and thinning the synthesized aperture. Compressive sensing methods are applied to provide situation awareness of sparse scenes using significantly reduced data.

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