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针对盲扰信分离技术在含噪混合条件下分离效果差的问题,文章采用经验模态分解和小波变换联合的降噪技术进行分离前的消噪预处理,研究了联合降噪的三种模式,分别对其降噪效果进行了仿真分析,得到了一种较好的联合降噪模式。将该模式与无噪环境下的盲分离算法相结合,弥补了经典盲源分离算法处理含噪混合盲扰信分离的不足。仿真结果表明该算法在一定范围的低信噪比条件下,能够从含噪的混合信号中恢复出通信信号源。
Aiming at the poor separation effect of blind separation techniques in noisy mixing conditions, this paper uses the combination of empirical mode decomposition and wavelet transform to noise reduction before separation, and studies three modes of joint noise reduction , Respectively, the noise reduction effect of their simulation analysis, get a better joint noise reduction mode. Combining this model with the blind separation algorithm in no-noise environment makes up for the shortcoming of classical blind source separation algorithm in dealing with the separation of noisy hybrid blind interference signals. The simulation results show that the proposed algorithm can recover the communication signal source from the noisy mixed signal under a certain range of low signal-to-noise ratio.