In the Three Dimension (3D) imaging using a wideband Multiple-Input Multiple-Output (MIMO) radar, the resolution in the two cross-range dimensions is usually not satisfactory in practice, limited by the length of the MIMO radar array. In the paper, the Compressive Sensing (CS) theory is applied to realize the super resolution in the two cross-range dimensions. Firstly, a joint two dimensions super resolution method via Kronecker CS (KCS) is proposed, to avoid losing the coupling information among different dimensions, which will happen when the super resolution is just considered in each dimension separately. Then, in order to solve the problem of huge storing and computing burden in KCS, a dimension reduction method is proposed further by utilizing the prior information of the low resolution 3D image. Finally, the validity of the method is verified with simulated data and real measured data experiments.
胡晓伟,童宁宁,何兴宇,丁姗姗, 雷腾. 基于Kronecker压缩感知的宽带MIMO雷达高分辨三维成像[J]. 电子与信息学报, 2016, 38(6): 1475-1481.
HU Xiaowei, TONG Ningning, HE Xingyu, DING Shanshan, LEI Teng. High-resolution 3D Imaging via Wideband MIMO Radar Based on Kronecker Compressive Sensing. JEIT, 2016, 38(6): 1475-1481.
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