基于RCS的空间目标识别研究  

Recognition Techniques for Space Targets based on RCS

作　　者：徐昕[1] 赵安军[2] 吉莎杉[1] 

机构地区：[1]西安机电信息技术研究所,西安710065 [2]西安建筑科技大学信息与控制学院,西安710055

出　　处：《火力与指挥控制》2010年第10期134-136,共3页Fire Control & Command Control

基　　金：国家863基金(2006AA703403);国家自然科学基金资助项目(600175001)

摘　　要：空间目标的雷达探测与识别技术在航天监测、开发利用空间资源方面具有广阔的应用前景。空间运动目标RCS序列为非平稳时间序列,常用时间序列分析方法很难对其进行特征提取和识别。针对空间运动目标RCS序列的变化规律,引入小波变换以及模糊分类对空间目标的RCS序列进行特征提取和识别。实测数据处理结果表明,对于空间目标的旋转姿态识别,该方法取得了较好的实验结果。Radar recognition of space targets has gained popularity for space surveillance and peaceful uses of outer space.RCS of Space Object is nonstationary time-series,feature extracting and identification from it is difficult using commonly methods.Considering the changing regular of RCS,this paper presents a novel method of space target recognition for attitude characteristics.The method makes use of CWT and fuzzy Decision to extract feature of RCS and classificate.The result shows that a high recognition rate is achieved when this method is applied to practical data.

关 键 词：雷达散射截面 小波变换 目标识别 空间目标 

分 类 号：TN95[电子电信—信号与信息处理]