基于反馈变分模式分解的单通道盲源分离算法

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Abstract When the number of source signals is unknown, the performance of the variational mode decomposition (VMD) algorithm for single channel mixed signal separation is greatly affected by the artificially set center frequency interval(Δf) of mode component, and the algorithm complexity is high. Here, the VMD algorithm based on feedback mechanism for single channel blind source separation (VMDF-SCBSS) was proposed. Firstly, the VMD algorithm was used to separate the observed signal into two mode components. Then, the similarity coefficient was used to measure the purity of mode components. The purest mode component was fed back to the input end and subtracted from the input signal. Finally, according to the proposed loop iteration termination condition constructed with similarity coefficients, whether or not continuing decomposition was judged. The simulation results showed that the VMDF-SCBSS algorithm doesn’t need Δf preset artificially; it can be used to separate single carrier source signals, and estimate the number of source signals; its complexity is lower.

Key words： single channel, variational model decomposition, feedback, blind source separation

Received: 09 October 2017 Published: 28 June 2019

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http://jvs.sjtu.edu.cn/EN/ OR http://jvs.sjtu.edu.cn/EN/Y2019/V38/I13/261

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