主从模式编队卫星SAR压缩感知成像算法

Compressive Sensing Imaging Algorithm for Master-Slave Mode of Formation-Flying Satellites SAR

  • 摘要: 为减轻主从模式编队卫星SAR对稀疏目标场景回波信号的采集与传输负担,提出了编队卫星SAR的回波信号稀疏方法。在研究编队卫星SAR回波信号特征的基础上,构建了编队卫星SAR距离向和方位向的稀疏基、测量矩阵和重构矩阵。针对主从模式编队卫星SAR与地面的数据传输特点,提出了低传输负荷下的主从模式编队卫星SAR压缩感知成像方法,并借助于正交匹配追踪算法 (Orthogonal Matching Pursuit,OMP) 对稀疏后的回波信号进行了恢复重构,获得了高质量的编队卫星SAR图像。仿真结果表明,针对稀疏目标场景,本文提出的压缩感知成像方法利用较少的回波数据便能重构出原始目标场景,实现了低负荷下的编队卫星SAR成像。

     

    Abstract: In order to alleviate the data collection and transmission burden of the sparse target scene echoes for master-slave mode of formation-flying satellites SAR, a kind of echoes sparse method for formation-flying satellites SAR is proposed. On the basis of analyzing the properties of formation-flying satellites SAR echoes, sparse matrices, measurement matrices and compressive sensing matrices of the master-slave mode are established. The sparse matrix in range is constructed by using the range model between target distance cell and the equivalent phase center of formation-flying satellites. The sparse matrix in azimuth is based on the phase model of each azimuth sample data. The measurement matrices in range and azimuth are employing the method of analog-information-conversion measurement framework and random demodulation, respectively. According to the data transmission characteristics of the master-slave mode of formation-flying satellites SAR, the compressive sensing imaging method for the master-slave mode with low data transmission payload is proposed, and the high-quality image of formation-flying satellites SAR is obtained by reconstructing the sparse echoes using the orthogonal matching pursuit algorithm. The simulation results show that the proposed method can reconstruct the original sparse target scene with less echoes. Thus, the formation-flying satellites SAR imaging based on low data transmission payload can be realized.

     

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