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Research on the Separation Method of LFM Signal Based on VMD-FastICA

机译:基于VMD-Fastica的LFM信号分离方法研究

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In order to solve the problem of single-channel separation of LFM signals, a method based on variational mode decomposition (VMD) and fast independent component analysis (FastICA) is proposed to separate signals. Firstly, we set the secondary penalty factor required by VMD and the number of signals. Secondly, the modal component signals are obtained by VMD. Finally, the FastICA separation algorithm is used to reconstruct and obtain the source signal. The simulation results show that the VMD can effectively separate the source signals, and the separation effect is better than the empirical mode decomposition (EMD) in single-channel blind source separation algorithm.
机译:为了解决LFM信号的单通道分离的问题,提出了一种基于变分模式分解(VMD)和快速独立分量分析(Fastica)的方法。 首先,我们设定了VMD所需的二次惩罚系数和信号的数量。 其次,模态分量信号由VMD获得。 最后,FastICA分离算法用于重建并获得源信号。 仿真结果表明,VMD可以有效地分离源信号,并且分离效果优于单通道盲源分离算法中的经验模式分解(EMD)。

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