宗竹林, 胡剑浩, 朱立东, 王健. 编队卫星合成孔径雷达空时二维压缩感知成像[J]. 电波科学学报, 2012, 27(3): 626-631.
      引用本文: 宗竹林, 胡剑浩, 朱立东, 王健. 编队卫星合成孔径雷达空时二维压缩感知成像[J]. 电波科学学报, 2012, 27(3): 626-631.
      ZONG Zhu-lin, HU Jian-hao, ZHU Li-dong, WANG Jian. Formation-flying small satellites SAR imaging algorithm using space-time compressive sensing[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2012, 27(3): 626-631.
      Citation: ZONG Zhu-lin, HU Jian-hao, ZHU Li-dong, WANG Jian. Formation-flying small satellites SAR imaging algorithm using space-time compressive sensing[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2012, 27(3): 626-631.

      编队卫星合成孔径雷达空时二维压缩感知成像

      Formation-flying small satellites SAR imaging algorithm using space-time compressive sensing

      • 摘要: 以减小编队小卫星数据传输负荷,加快编队小卫星合成孔径雷达(SAR)成像速度为目的,提出了一种基于空时二维压缩感知(CS)理论的解决方案。通过对编队小卫星SAR回波信号模型稀疏性的研究与分析,提出了一种基于该回波模型的空时二维压缩算法。在此基础上建立了编队小卫星SAR的回波稀疏模型和目标信息的重构矩阵,并用最小l1范数算法对压缩后的数据进行了时间维和空间维的恢复重构,实现了编队小卫星的低负荷、快速成像。通过仿真分析,验证了该方案的有效性。

         

        Abstract: For the purpose of reducing the data transmission load of formationflying small satellites and speeding up the imaging rate for formation-flying small satellites Synthetic aperture radar(SAR),a technical approach based on the theory of space-time compressive sensing is proposed.Firstly,on the basis of researching and analyzing the sparse characteristic of formation-flying small satellites SAR echoes, the space-time compressive sensing(CS)algorithm is presented.Then,the echo sparse model and the target restore matrix are established.Finally,the minimum l1 norm algorithm used for time dimension and space dimension recover reconstruction is studied,and fast,low-load imaging is implemented.The effectiveness of the scheme is tested through processing simulated data.

         

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