Abstract: The relationship between target reconstruction and station layout in distributed radar sparse imaging system was studied. Based on the sparse imaging model of the distributed radar, the relationship between mutual coherence of measurement matrix and system parameters was derived. Furthermore, it was presented that the mutual coherence was decided only by unit station direction vector under the given conditions of radar parameters and imaging scene partition. Therefore, the cost function “minimization of mutual coherence” was utilized for station layout optimization. Simulation results are provided to demonstrate the performance improvement of the proposed method.

Key words: distributed radar, sparse imaging, mutual coherence, station layout optimization