3-D Imaging Based on Combination of the ISAR Technique and a MIMO Radar System

In this paper, a novel 3-D imaging method achieved by combining the inverse synthetic aperture radar (ISAR) technique and a multiple-input-multiple-output (MIMO) radar system is presented. The high-resolution image of a target can be obtained within a limited imaging time interval, and the computational load can be reduced simultaneously because the time samples obtained by the ISAR technique can be used to play the role of space samples needed in the MIMO radar system. The adopted process of time selection method can help to realize the exact combination of the signals received by different antenna elements without producing nonequivalence between the time samples and the space samples which need to be substituted. Besides, the 2-D smoothed (2-D SL0) method, which is especially designed for 2-D signals in the compressed sensing (CS) technique, is used to realize the high-resolution imaging when there are gaps in the global observation angle without increasing the computation load or introducing the false estimated data. Furthermore, the algorithms for range alignment and velocity estimation under the 3-D imaging radar configuration are described explicitly. Finally, the simulation results are provided to prove the effectiveness of the algorithms proposed in this paper.