基于多测量向量模型的下视三维合成孔径雷达成像方法  

Imaging Method of Downward-Looking 3D Synthetic Aperture Radar Based on Multiple Measurement Vectors Model

作　　者：康乐[1,2] 张群 陈一畅[1,2] 刘奇勇 

机构地区：[1]空军工程大学信息与导航学院,陕西西安710077 [2]信息感知技术协同创新中心,陕西西安710077 [3]复旦大学电磁波信息科学教育部重点实验室,上海200433

出　　处：《光学学报》2017年第11期130-139,共10页Acta Optica Sinica

基　　金：国家自然科学基金(61471386;61631019)

摘　　要：基于压缩感知的下视三维合成孔径雷达(DL 3DSAR)成像算法可以采用低于Nyquist采样率的采样数据实现平台正下方的高分辨成像。但是已有的算法在跨航向重构时采用的大都是单测量向量(SMV)模型,存在重构耗时长、受噪声干扰大的缺点。从单测量向量的推广形式即多重测量向量(MMV)模型出发,将DL 3DSAR中的跨航向处理与沿航迹向处理顺序交换,利用多重测量向量恢复具有相同稀疏结构的跨航向信号,提出了一种基于MMV模型的DL 3DSAR成像算法。相比于SMV模型的DL 3DSAR成像算法,该算法在运算时间、抗噪性能及重构精度方面均有所提高,并通过仿真实验验证了算法的有效性。The downward-looking three-dimensional synthetic aperture radar （DL 3D SAR） imaging method based on compressed sensing could complete the high-resolution imaging by using the sampling data below the Nyquist sampling rate. However, the existing DL 3D SAR imaging methods which used for cross-track profile reconstruction are based on the single measurement vectors （SMV） model and has defects of time-consuming and noise-affected. Based on the multiple measurement vectors （MMV） model, the order of cross-track and along-track in the DL 3D SAR imaging process are exchanged. By using the same sparse structure in cross-track domain for different along-track measurements, the DL 3D SAR imaging method based on MMV model is proposed. The proposed method is superior to the SMV-based method both on time-consuming, reconstruction accuracy and anti- noise performance, and the effectiveness is verified by the simulation experiments.

关 键 词：成像系统 合成孔径雷达 三维成像 压缩感知 多测量向量 

分 类 号：TN957.52[电子电信—信号与信息处理]