基于层析投影算法的空间旋转目标窄带雷达成像  

Narrowband Imaging for Spatial Rotating Targets Based on Tomography Algorithm

作　　者：丁小峰[1] 姚辉伟[1] 范梅梅[1] 魏玺章[1] 

机构地区：[1]国防科技大学空间电子信息技术研究所,湖南长沙410073

出　　处：《信号处理》2010年第5期648-653,共6页Journal of Signal Processing

基　　金：国家杰出青年科学基金(项目名称:雷达目标综合识别系统;项目编号:60025102)

摘　　要：窄带雷达受发射波形的带宽限制,距离向分辨率低,通常应用于目标检测、跟踪以及运动参数的提取。对于空间旋转类目标,窄带雷达通过对目标长时间照射,利用层析投影算法,可以实现目标散射点二维分辨。这种成像方法降低了对雷达宽带的限制,在成像体制上具有优势。本文首先阐述了基于层析投影算法的窄带雷达空间目标成像机理,推导得到窄带成像算法的分辨率,给出了散射点目标的成像试验结果,从理论和实验两方面验证了特征散射点较少的空间目标窄带成像的可行性。Narrowband radar provides poor range resolution because of the limit of the bandwidth, and it is usually used to targets tracking, detection and motional parameters extraction. For the rotating targets, narrowband radar can achieve both range and cross resolution by tomography through long time irradiation. This imaging method possesses the advantage as it has no band limitation. The paper interprets the mechanism of the narrowband imaging based on the tomography, deduces both cross and range resolution for the narrowband imaging and gives the target imaging results using the simulated narrowband return waves. The experiment results tested by the scattering target model show the feasibility of the narrowband imaging.

关 键 词：窄带成像 滤波逆投影 分辨率 

分 类 号：TN911.72[电子电信—通信与信息系统]