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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. Using the micro-Doppler frequency of radar target to make target decision is one of the advanced target recognition methods. In extracting the fretting parameters of ballistic missiles, the signal-to-noise ratio of the radar echo will have different degrees of influence on it, and the parameters may not be extracted in severe cases. Based on the establishment of ballistic missile movement model and the method of extracting micro-Doppler characteristic parameters based on time-frequency analysis, the micro-Doppler characteristic parameters extraction of ballistic missiles under different radar echo signal- Dynamic characteristics of parameters with the signal to noise ratio changes. The simulation results show that the micro-Doppler ballistic missile’s fretting parameters extraction efficiency increases with the signal-to-noise ratio of the radar. As long as the signal-noise ratio of the radar is more than 5, the effective extraction of the fretting characteristic parameters can be achieved well.