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Rotation and Precession Periods Estimation of Unstable Satellite via Variational Mode Decomposition

机译:基于变分分解的不稳定卫星自转和进动周期估计

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摘要

Attitude motion periods of the unstable satellites are important parameters for space target surveillance. Traditional period estimation methods can only be used for single period. Aiming at rotation and precession of unstable satellite, a double-period estimation method based on variational mode decomposition (VMD) and mutual information is proposed. First, the radar cross section (RCS) of unstable satellite is processed by VMD to obtain intrinsic mode functions (IMFs) and corresponding center-frequencies. Then, through calculating and comparing the mutual information of IMFs and RCS sequence, the rotation period and precession period of satellite are obtained. The experimental results indicate that both rotation period and precession period can be estimated correctly. Compared with spectrum analysis, autocorrelation function and empirical mode decomposition (EMD), the phenomenon of frequency multiplication and mode mixing can be restrained effectively, and the accuracy of period estimation is improved.
机译:不稳定卫星的姿态运动周期是空间目标监视的重要参数。传统的周期估计方法只能用于单个周期。针对不稳定卫星的自转和进动,提出了一种基于变分模分解和互信息的双周期估计方法。首先,通过VMD处理不稳定卫星的雷达横截面(RCS),以获得固有模式函数(IMF)和相应的中心频率。然后,通过计算和比较IMF和RCS序列的互信息,得到卫星的自转周期和进动周期。实验结果表明,旋转周期和进动周期都可以正确估计。与频谱分析,自相关函数和经验模态分解(EMD)相比,可以有效地抑制倍频和模态混合现象,提高了周期估计的准确性。

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