CS‐based processing for high‐resolution passive radar with incoherent dictionary

Abstract

Passive radar (PR) systems are attractive for various military and commercial applications, where illuminators of opportunity are used. Using the fact that most target scenes are very sparsely populated makes it possible to apply compressive sensing (CS) for PR. CS provides higher resolution than that obtained by using traditional ambiguous function, but suffers from increasing coherence associated with the finer grids whether for monostatic radar or multistatic radar. A novel incoherent CS dictionary construction method is presented here to deal with the case of finer grids. Experimental results demonstrate that the proposed CS-based processing scheme with incoherent dictionary can work well for high-resolution PRs.