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Ballistic missile micro-Doppler parameter estimation based on multi-section signals

机译：基于多部分信号的弹道导弹微多普勒参数估计

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摘要

Spin motion of the ballistic missile (BM) with empennages caused micro-Doppler modulations in radar returns, which was quite an important characteristic in BM radar target recognition systems. Early-warning radar (EWR) sometimes had to observe targets in time segmented due to the demands of multi-object-tracking and multi-tasking. While there were many difficulties to extract feature parameters from the non-coherent multi-section signals. The paper modelled the multi-section radar signals of the spinning BM firstly. According to the characteristics of the multi-section signals, the method of Radon-pseudo-STFT was proposed to estimate the radial acceleration using the multi-section signals. After the acceleration compensation, the micro-Doppler modulation period was extracted based on the method of complex envelops unbiased autocorrelation.
机译：弹性导弹（BM）的旋转运动与eMPennages导致雷达返回中的微多普勒调制，这在BM雷达目标识别系统中是非常重要的特征。由于多对象跟踪和多任务的需求，早期警告雷达（EWR）有时必须在时间分段地观察目标。虽然从非相干多部分信号中提取特征参数存在许多困难。本文首先建模了纺纱BM的多节雷达信号。根据多段信号的特性，提出了氡-pseudo-stft的方法来估计使用多部分信号的径向加速度。在加速补偿之后，基于复合包膜的方法提取微多普勒调制周期，该方法无偏见自相关。

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