Downward-Looking Linear Array 3D SAR Imaging Based on Multiple Measurement Vectors Model and Continuous Compressive Sensing

作者：Liu, Qi-yong; Zhang, Qun^*; Gu, Fu-fei; Chen, Yi-chang; Kang, Le; Qu, Xiao-yu

来源：Journal of Sensors, 2017, 2017: 6207828.

DOI：10.1155/2017/6207828

This paper concerns the problems of huge data and off-grid effect of cross-track direction in downward-looking linear array (DLLA) 3D SAR imaging. Since the 3D imaging needs a great deal of memory space, we consider the methods of downsampling to reduce the data quantity. In the azimuth direction, we proposed a method based on the multiple measurement vectors (MMV) model, which can enhance computational efficiency and elevate the performance of antinoise, to recover the signal. Further, in cross-track direction, since the resolution is restricted by the length of array, as well as platform size, the influence of off-grid effect is more serious than azimuth direction. Continuous compressive sensing (CCS), which can solve the off-grid effect of the classical compressive sensing (CS), is presented to obtain the precise imaging result under the noise scenarios. Finally, we validate our method by extension numerical experiments.

• 出版日期2017
• 单位中国人民解放军空军工程大学; 中国卫星海上测控部; 复旦大学