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弹道导弹微动特征参数随雷达回波信噪比的变化特性

Variation Characteristics of Micro-dynamic Characteristic Parameters of Ballistic Missile with Wavelet-to-Noise Ratio of Radar
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摘要 雷达目标识别是弹道导弹防御系统中的关键技术,利用导弹目标产生的雷达微多普勒频率进行目标判定是先进的目标识别方法之一。在进行弹道导弹的微动特征参数提取时,雷达回波的信噪比将会对其有不同程度的影响,严重时可能无法实现参数提取。在建立弹道导弹弹头运动模型和基于时频分析法的微多普勒特征参数提取方法的基础上,通过不同雷达回波信噪比下弹道导弹微多普勒特征参数提取的仿真,获得了微动特征参数随信噪比的变化特性。仿真结果表明:基于微多普勒的弹道导弹微动特征参数提取效果随着雷达信噪比而提高;只要雷达信噪比大于5,则都可较好地实现微动特征参数的有效提取。 Radar target recognition is the key technology in ballistic missile defense system. It is one o f the advanced target rec-ognition methods to carry out target decision by using radar micro-Doppler frequency o f missile target. The S〉1R of the radar echo will have different effects on the extraction o f the fretting characteristic parameters of fhe ballistic missile. In the severe case, the parameter extraction can not be realized. Based on tiie design o f the ballistic missile warhead model and the micro-Do-ppler characteristic parameter extraction method based on Hie tiine- fi:equency analysis method, the micro-Doppler characteristic parameters of the ballistic missile under different radar echo- to-noise ratios are obtained. The Change Characteristics o f Dy-namic Characteristic Parameters with Signal - to - Noise Ratio. The simulation results show that fhe proposed method is effective with the radar signal - to - noise ratio (SNR) o f the ballistic missile based on micio - Doppler. As long as the radar signal - to - noise ratio is greater than 5, the effective extraction o f die fietdng characteristic parameters can be realized.
出处 《信息通信》 2017年第7期10-12,共3页 Information & Communications
基金 国家自然科学基金(No.61077037) 河南省重点科技攻关计划:172102210046
关键词 微多普勒 弹道导弹 特征参数 信噪比 micro-Doppler ballistic missile characteristic parameter signal- to-noise ratio
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