缺失孔径下多基地外辐射源雷达成像算法  

Multistatic passive radar imaging algorithm for the gapped aperture

作　　者：王珏[1] 王俊[1] 武勇[1] 邓亚琦 罗振[1] 

机构地区：[1]西安电子科技大学雷达信号处理国家重点实验室,陕西西安710071

出　　处：《西安电子科技大学学报》2016年第3期25-30,共6页Journal of Xidian University

基　　金：教育部创新团队计划资助项目(IRT0954);国家自然科学基金资助项目(61401526)

摘　　要：窄带外辐射源数目通常稀少且分布不均匀,在实际情况下一般不能够利用多个外辐射源对目标成像.针对单个外辐射源,提出通过部署多个接收站的方式来等效合成孔径以对目标成像.首先分析了多基地外辐射源雷达成像系统的目标回波形式,得到了目标散射函数与雷达接收信号之间的傅里叶变换对关系;然后利用目标散射点的稀疏先验知识,借助压缩感知算法恢复目标散射系数;最后利用模拟退火算法对接收站的位置进行优化,以降低字典矩阵的列相关系数.仿真结果表明,在等效子孔径不能形成完整孔径时,所提方法可以明显地改善图像重构性能.Due to usually a small number of narrowband external illuminators and their uneven distribution, a single external illuminator and several receivers are used to synthetize aperture equivalently. The form of the target echo of the multistatic passive radar system is analyzed, and then the relationship of Fourier transform pair between target scattering function and the echo received by radar is deduced. Based on the prior knowledge of sparse distribution of the target, the algorithm of Compressed Sensing is used to recover the scattering coefficient of targets. Finally, the positions of receivers have been optimized by minimizing the correlation of the dictionary matrix based on minimizing the correlation coefficient of the dictionary matrix by the algorithm of Simulated Annealing （SA）. Simulations show that the performance of the recovery of the image is improved significantly after optimizing.

关 键 词：多站无源成像 压缩感知 合成孔径 单发多收模式 优化布站 

分 类 号：TN957[电子电信—信号与信息处理]