2021 4th International Conference on Information Communication and Signal Processing (ICICSP)(2021)
Communications Engineering College
被引用2|浏览7
摘要
Aiming at the poor separation performance of traditional blind source separation (BSS) algorithms at low signal-to-noise ratios (SNR), a new BSS algorithm under low SNR is proposed. The algorithm designs the structure of “pre-denoising + blind source separation + post-denoising”, which uses ensemble empirical mode decomposition technology to complete the pre-denoising before separation, and the stochastic resonance technology to complete the post-denoising after separation. The simulation results show that the proposed algorithm can effectively separate communication signals and jamming from the observed mixed signals under the condition of low SNR.