基于目标场景结构化稀疏重构的三维雷达成像方法  

3D Radar Imaging Based on Target Scenario Structer Sparse Reconstruction

作　　者：张研 王保平[2] 方阳[1] 王佳慧 宋祖勋[1] ZHANG Yan;WANG Baoping;FANG Yang;WANG Jiahui;SONG Zuxun(School of Electronic and Information,Northwestern Polytechnical University,Xi’an 710072,China;Science and Technology on UAV Laboratory,Northwestern Polytechnical University,Xi’an 710065,China;State Grid Shaanxi Electric Power Economic Technology Research Institute,Xi’an 710065,China)

机构地区：[1]西北工业大学电子信息学院,西安710072 [2]西北工业大学无人机特种技术重点实验室,西安710065 [3]国网陕西省电力公司经济技术研究院,西安710065

出　　处：《电子与信息学报》2021年第4期1185-1191,共7页Journal of Electronics & Information Technology

基　　金：国家自然科学基金(61472324)。

摘　　要：基于成像场景散射强度稀疏表示的3维雷达成像结果对目标的外形几何细节体现较差,不利于目标识别。该文首先分析了目标在成像场景内散射强度的结构化特征,然后以散射点梯度信息进行了结构化稀疏表示,构建了基于目标散射强度梯度变化的结构化稀疏重构模型,最后通过改进的联合正交匹配追踪算法重构出目标3维图像。实验结果表明,该方法具有较好的抗噪性能和成像质量,可以更好地反映目标外形几何特征。The three-Dimensional(3D)radar imaging mathods based on sparse representation by the scattering intensity of imaging sceen has a poor representation of geometric details on the shape of the target,which isn’t conducive to target recognition.Firstly,the structural characteristics of scattering intensity in the imaging scenario are analyzed in this paper.Then,by the structured sparse representation with the gradient information of scattering points,a structured sparse reconstruction model is constructed.Finally,the 3D imaging result is reconstructed by a improved joint Orthogonal Matching Pursuit(OMP)algorithm.The experimental results show that the proposed method has good anti-noise and imaging quality,and can reflect the geometric details of the target.

关 键 词：雷达成像 3维成像 目标散射强度 结构化稀疏表示 正交匹配追踪 

分 类 号：TN957.52[电子电信—信号与信息处理]