Sparse imaging for passive radar system based on DVB-S using Harctan-Oracle algorithm

Passive radar imaging using illuminators has attracted much attention in recent years, and space passive radar imaging has been the hotspot of nowadays´ research because it has more advantages compared with other ground-based radar imaging. This paper presents a fast and robust passive radar imaging reconstruction algorithm (Harctan-Oracle) based on digital video broadcasting-satellites (DVB-S). In the proposed approach, non-convex optimal rules for removing/adding elements from/to the support are derived by homotopic way through solving the non-convex optimization problem and the oracle algorithm is used for recovery of sparse targets based on the support. As demonstrated by simulation results, the proposed algorithm significantly improves the performance of sparse passive radar imaging reconstruction.