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Ballistic Missile Precession Frequency Extraction by Spectrogram's Texture

机译:弹谱图纹理的弹道导弹预测频率提取

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摘要

In order to extract precession frequency, an crucial parameter in ballistic target recognition, which reflected the kinematical characteristics as well as structural and mass distribution features, we developed a dynamic RCS signal model for a conical ballistic missile warhead, with a log-norm multiplicative noise, substituting the familiar additive noise, derived formulas of micro-Doppler induced by precession motion, and analyzed time-varying micro-Doppler features utilizing time-frequency transforms, extracted precession frequency by measuring the spectrogram's texture, verified them by computer simulation studies. Simulation demonstrates the excellent performance of the method proposed in extracting the precession frequency, especially in the case of low SNR.
机译:为了提取进出频率,弹道目标识别中的重要参数,其反映了运动学特性以及结构和群式分布特征,我们为锥形弹道导弹弹头开发了一种动态RCS信号模型,具有日志规范的乘法噪声以易于动作诱导的熟悉的添加剂噪声,衍生的微多普勒的衍生公式,并利用时频变换分析时变微多普勒特征,通过测量谱图的纹理提取了预测频率,通过计算机仿真研究验证了它们。仿真显示了提取预测频率的方法的优异性能,特别是在低SNR的情况下。

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