Aiming at the problem of blind source separation in noisy environment,wavelet de-noising method is introduced into blind source separation model.Two separation methods,pre-denoising+blind source separation algorithm,and pre-denoising+blind source separation algorithm+post-denoising,are analyzed theoretically.Then,comparison is made to the separation results of the two methods through digital simulation.The simulation shows that:1) Compared with the method only using blind source separation algorithm,the separation method combining wavelet de-noising with blind source separation algorithm has much better separation effect; and 2) The separation effect of pre-denoising+blind source separation algorithm+post-denoising is generally better than that of pre-denoising+blind source separation algorithm.