High-Resolution Radar Imaging of Space Targets Based on HRRP Series
High-Resolution Radar Imaging of Space Targets Based on HRRP Series
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DOI：
10.1109/tgrs.2013.2260342
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发表时间：
2014-05
影响因子：
8.2
通讯作者：
Xueru Bai;Feng Zhou;Z. Bao
中科院分区：
文献类型：
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作者：
Xueru Bai;Feng Zhou;Z. Bao
宽带或超宽带、低脉冲重复频率（PRF）雷达对空间目标成像时，极有可能出现距离单元运动和方位欠采样，从而导致图像拖尾。针对这一问题，提出了一种基于高分辨距离像序列的三步成像方法。第一步，基于稀疏信号表示理论，得到高质量的HRRP序列。然后，基于卡尔曼预测器和最小欧氏距离准则，进行基于运动和幅度特征的散射体轨迹关联，形成散射体轨迹矩阵，最后由该矩阵方便地求解散射体位置。与传统的基于多普勒分析的成像技术相比，该方法能够有效地消除方位欠采样的影响，为低重频条件下非均匀运动目标的高分辨率成像提供了一种新的解决方案。最后通过仿真验证了该方法的有效性。
When wide or ultrawideband, low pulse repetition frequency (PRF) radar is applied to the imaging of space targets; it is highly possible that motion through range cell and azimuth under-sampling occurs, which will result in image smearing. To figure out this problem, this paper proposes a novel, three-step imaging method using the high-resolution range profile (HRRP) series. In the first step, high-quality HRRP series are obtained based on the theory of sparse signal representation. Then, based on the Kalman predictor and the minimum Euclidean distance criterion, motion and amplitude feature-based scatterer trajectory association is carried out to form the scatterer trajectory matrix, from which the scatterer locations are conveniently solved in the last step. Compared to the traditional imaging techniques based on Doppler analysis, the proposed method is able to mitigate the influence of azimuth under-sampling, and may provide a new solution to high-resolution imaging of targets moving nonuniformly in low PRF scenarios. Finally, simulations have proved the effectiveness of the proposed method.