Systems Engineering and Electronics ›› 2023, Vol. 45 ›› Issue (10): 3302-3311.doi: 10.12305/j.issn.1001-506X.2023.10.35

• Communications and Networks • Previous Articles    

Single-channel blind source separation algorithm for energy differential mixed signals

Weihong FU, Yufei ZHOU, Wensheng ZHAO   

  1. School of Telecommunications Engineering, Xidian University, Xi'an 710071, China
  • Received:2022-07-07 Online:2023-09-25 Published:2023-10-11
  • Contact: Weihong FU

Abstract:

In order to solve the problem of single-channel blind source separation (SCBSS) when the different source signals have different energy, a single-channel blind source separation algorithm for mixed signals with different energy is proposed. Aiming at the decomposition problem of energy difference signal, an improved variational mode decomposition algorithm is proposed, which set the double threshold of spectral correlation coefficient and center frequency, identify the source of the modal component, and combine the modal components from the same source signal to obtain the corresponding component of the source signal. Secondly, the signal component and the mixed signal are combined to form the multi-channel signal. Finally, the multi-channel blind separation algorithm is used to separate the source signal. The simulation results show that when the signal-noise ratio meets certain conditions, the proposed algorithm can effectively separate the multi-channel signals with energy difference from the spectrum aliasing mixed signals.

Key words: single channel blind source separation (SCBSS), energy difference, variational mode decomposition

CLC Number: 

[an error occurred while processing this directive]