Abstract:

The compressive sensing (CS) theory and the strip map random noise radar are connected. A new sparse imaging method with stripmap random noise radar based on CS is proposed on the basis of supposing of sparse scene targets. In the method, the sparse transform matrix is designed as the different delay matrixes of random noises, and the measurement matrix is designed as the product of random noise and partial unit matrix. The number of the sampling data of returned signals is reduced apparently, and the high quality scene image can be obtained by using the method. Simulation results prove the effectiveness and robustness of the proposed method.