Sparse Recovery-based Multi-Static Radar Multi-Target Projection Localization

Multi-static radar multi-target projection localization method overcomes data association problem in the viewpoint of the imaging technique, in which the receivers are considered as a sparse antenna array that causes 2-D spatial resolution, and the transmitted broadband signal causes the range resolution. However, the range resolution is decreased due to the main-lobes broadening and the side-lobes crosstalk after the pulse compression system. The main-lobes and the side-lobes of the targets of high scatter coefficient might be selected as the targets, which lead to some false targets. In order to eliminate the main-lobes broadening and the side-lobes crosstalk, in this paper we present a sparse recovery-based multi-static radar multi-target projection localization method. Exploiting the sparsity feature of the targets under the surveillance scene, the orthogonal matching pursuit algorithm is used to reconstruct signals of each receiver. Then, the reconstruction signals are projected by BR projection to image space in which the multi-target localization is performed by the PGC algorithm. The simulated results confirm that the proposed method eliminates the main-lobes broadening and the side-lobes crosstalk and improves the range resolution.