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Micro-motion feature extraction of space targets based on sinusoidal frequency modulation Fourier transform

机译:基于正弦频调制傅立叶变换的空间目标微动特征提取

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摘要

The space target can be discriminated from other objects by the micro-motion feature difference. The micro-motion features of a space target with precession include the spinning period, the precession angle and the precession period etc. The main work of this study is to extract the target micro-motion period from the echo by sinusoidal frequency modulation Fourier transform (SFMFT). The proposed method takes the advantages of the phase terms operation of the SFMFT. In the study, the micro-Doppler effect induced by precession is analysed and then present the algorithm step by step. Meanwhile, the simulation is given to demonstrate the validity of the proposed method.
机译:可以通过微观运动特征差对空间目标与其他对象进行区分。具有进样的空间目标的微观运动特征包括旋转周期,预测角度和预测时期等。本研究的主要工作是通过正弦频率调制傅立叶变换从回波中提取目标微观运动周期( SFMFT)。所提出的方法采用SFMFT的相位术语操作的优点。在该研究中,分析了通过预进出诱导的微多普勒效应,然后通过步骤逐步呈现算法。同时,给出了模拟来证明所提出的方法的有效性。

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