摘要
目标微动产生的微多普勒特征,通常被认为是目标独有的特征,可用于确定目标的性质,实现对目标的检测、识别与分类。文中在对微动目标微多普勒分析的基础上,建立了导弹与诱饵的数学模型,采用短时傅里叶变换的方法对回波信号进行微多普勒特征提取,仿真分析了导弹与诱饵的微多普勒特征,通过研究其时频分布特点的差异成功的识别出了真假目标,从而为弹道导弹与重诱饵的识别提供了一个新的有效方法。
The characteristic in targets micro-doppler that derives from the micro-motion of the target is generally unique. Consequently, it can be utilized to automatic target recognition and classification. In this work, based on the principle of micro-doppler, the mathematical model between missile and decoy is constructed, and characteristics in micro-doppler arc analyzed through simulation, thus distinguishing the target from heavy decoys and the missile. It offers a new reassuring way to the discrimination of the real or false targets.
出处
《电子科技》
2010年第3期81-83,100,共4页
Electronic Science and Technology
基金
国防预研基金资助项目(9140A010604408DZ0104)
航空科学基金资助项目(20080181002)
关键词
目标识别
弹头
诱饵
微多普勒
微动
target recognition
warhead
decoy
micro-doppler
micro-motion
