基于空时超分辨算法的雷达目标二维重构  

2_D Reconstruction of Radar Target Based on Spatial-temporal Super-resolution Algorithm

作　　者：曹鹏[1] 梁华强[1,2] 

机构地区：[1]西北工业大学电子信息学院,陕西西安710072 [2]西安通信学院,陕西西安710106

出　　处：《计算机仿真》2011年第1期51-54,共4页Computer Simulation

摘　　要：研究雷达优化目标的识别率,为提高分辨率的同时有效降低了运算量,提出一种新的雷达目标二维散射中心重构算法,通过研究电磁散射的频域散射模型,把二维散射中心参数提取问题转化为两个一维散射中心提取问题,利用共轭酉Root-MUSIC(CURoot-MUSIC)算法估计距离向和方位向的一维散射中心分布,获取所有可能的散射中心的空间频率组合,然后通过空间匹配滤波,对两组散射中心的空间频率配对,剔除虚假频率组合,完成二维散射中心提取。仿真结果表明算法在提高分辨率的同时有效降低了运算量,并为设计提供可靠依据。To improve the resolution and reduce computational complexity significandy, a novel method is pro- posed for reconstructing the 2- D scattering center of radar target in this paper. Researching the frequency scatter model of electromagnetic scattering, we resolve the problem by extracting two 1-D scatter center parameter instead of extracting directly 2-D scatter center parameters. The 1-D scattering center in range dimension and cross dimension is estimated separately by conjugate unitary Root-MUSIC algorithm, and grouped to attain all possible spatial frequency pairs. Then the unveracious frequency pairs are eliminated by spatial matching filtering, and the 2-D scattering center parameters are obtained. Theory analysis and simulation result show that the new approach can improve the resolution and significantly reduce computational complexity.

关 键 词：雷达成像 共轭酉多重信号分类算法 空间匹配滤波 超分辨 

分 类 号：TN957.52[电子电信—信号与信息处理]