Three-aperture inverse synthetic aperture radar moving targets imaging processing based on compressive sensing

摘要

Inverse synthetic aperture radar (ISAR) moving targets imaging processing is discussed in this paper. Due to the sparsity of the scene, the theory of Compressive Sensing (CS) is introduced to improve the imaging quality. Thus, super-resolution imaging is achieved. Combining real aperture with synthetic aperture, a hybrid model of imaging is proposed which allows imaging on a short radar coherent processing interval (CPI). A complex-valued image compression approach is proposed. Using two or more antennas, the random phase of image pixel can be eliminated and the frequency spectrum is sparse. Hence, the ISAR complex-valued image compression and reconstruction can be completed.