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

机译：基于多段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：具有尾翼的弹道导弹（BM）的自旋运动引起雷达回波中的微多普勒调制，这是BM雷达目标识别系统中的一个重要特征。由于多目标跟踪和多任务的需求，预警雷达（EWR）有时不得不按时间分段观察目标。从非相干多节信号中提取特征参数有很多困难。本文首先对旋转式BM的多部分雷达信号进行了建模。针对多段信号的特点，提出了一种Radon-Pseudo-STFT方法，利用多段信号估计径向加速度。加速度补偿后，采用复包络无偏自相关方法提取微多普勒调制周期。

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