合成孔径雷达的回波数据和图像数据都是复数，由于各个分辨单元散射点的初始相位是随机的，致使连续变化地物场景的信号带宽较大，传统的单天线SAR很难实现空间稀疏降采样。该文采用交轨向多天线观测结构，分析了交轨向稀疏阵列SAR的成像模型，首次提出利用信号重构方法，去除散射点随机初相位，降低复信号带宽，以较大间隔的空间稀疏采样实现稀疏阵列SAR侧视3维成像。干涉SAR 2维成像实际数据处理结果验证了通过信号重构可以降低复信号带宽，稀疏阵列SAR侧视3维成像的仿真结果验证了该文方法的有效性。%The raw data of Synthetic Aperture Radar (SAR) is complex value, as well as the image data. Due to the random phase of each scattering cell, continuous scene has a wide signal band which makes single-aperture SAR difficult to realize down-sampling. In this paper, imaging model of cross-track sparse array SAR is analyzed. Signal reconstruction based imaging method under cross-track multi-aperture structure is investigated to eliminate random phases of scatters and reduce the signal bandwidth. Consequently, sparse array side-looking 3D imaging with larger interval space sampling is realized. The results on InSAR 2D real data verify that the bandwidth can be reduced after signal reconstruction. Besides, the simulation experiments on 3D imaging validate the effectiveness of the proposed method.
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