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Ballistic Missile Warhead Recognition Based On Micro-doppler Frequency

机译:基于微多普勒频率的弹道导弹战斗部识别

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摘要

To elucidate the spinning-precession signatures of ballistic warhead, the model of spinning precession for ballistic missile warhead is established and the mathematics of micro-Doppler signatures caused by spinning-precession is derived. Then the micro-Doppler features are analysed using high-resolution time-frequency transform, and the model predictions match the experimental data well. Based on different mass of warheads and decoys, the feature, which can reflect the mass of the targets, is extracted from the time-frequency plane, proving a new method for recognising warheads and discriminating these from decoys. Finally the validity of the feature extracted in this study is verified by computer simulations even with low signal-to-noise ratio.
机译:为了阐明弹道战斗部的旋进进动特征,建立了弹道导弹弹头的旋进进动模型,推导了旋进进动引起的微多普勒信号的数学模型。然后利用高分辨率时频变换分析微多普勒特征,模型预测与实验数据吻合良好。根据不同的弹头和诱饵质量,从时频平面提取可以反映目标质量的特征,为识别弹头和区别诱饵提供了一种新方法。最后,即使在低信噪比的情况下,通过计算机仿真也可以验证本研究中提取的特征的有效性。

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