CAJ | 학술논문

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.
이용RCS특정대탄도중단목표진행조분류,가유효제고후속탄도목표적정학판별능력.통과건립상견적탄도목표삼충미동모형,의거불동탄도목표물리결구급재중단비행시적운동자태차이,제출일충이용RCS서렬표준차급기공솔보적상결합적탄도목표조분류방법.통과방진대득도적RCS서렬진행료탄도목표조분류실험,험증료해방법적유효성,병급출료일사유용결론.
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.