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

机译:通过变分模式分解的旋转和预测时期估计不稳定卫星的估计

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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。传统期间估计方法只能用于单个时期。针对不稳定卫星的旋转和预测,提出了一种基于变分模式分解(VMD)和相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),以获得内在模式功能(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,获得卫星的旋转周期和预测时期。实验结果表明,可以正确地估计旋转周期和预测时段。与频谱分析,自相关函数和经验模式分解(EMD)相比,倍频和模式混合的现象能够有效地抑制,并且周期估计的精度提高。

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