基于RCS特征的弹道中段目标粗分类  

Rough Classification of Ballistic Midcourse Targets Based on RCS Characteristics

作　　者：李星星[1] 姚汉英[1] 孙文峰[2] 

机构地区：[1]空军预警学院研究生管理大队,武汉430019 [2]空军预警学院空天预警实验室,武汉430019

出　　处：《空军预警学院学报》2013年第1期20-24,共5页Journal of Air Force Early Warning Academy

摘　　要：利用RCS特征对弹道中段目标进行粗分类,可有效提高后续弹道目标的精确判别能力.通过建立常见的弹道目标三种微动模型,依据不同弹道目标物理结构及在中段飞行时的运动姿态差异,提出一种利用RCS序列标准差及其功率谱熵相结合的弹道目标粗分类方法.通过仿真对得到的RCS序列进行了弹道目标粗分类实验,验证了该方法的有效性,并给出了一些有用结论.By using the RCS characteristics to classify roughly the ballistic targets in midcourse, the capability for distinguishing accurately the follow-up ballistic targets can be improved effectively. This paper proposes a rough classification of ballistic targets using the combination of RCS sequence standard deviation with its power spectral entropy, by means of setting up the three kinds of micro-motion models of common ballistic targets, and on the basis of the physical structure and flying attitude difference in the midcourse of various ballistic targets. The availability of this proposed scheme is proved by the experiments of ballistic targets＇ rough classification on those RCS sequences obtained by simulation, and finally, some useful conclusions are drawn in this paper.

关 键 词：RCS特征 弹道目标 粗分类 微动 功率谱熵 

分 类 号：TN957[电子电信—信号与信息处理]