针对盲源分离性能受噪声影响较大且传统白化预处理方法降噪能力有限的问题,提出了一种基于小波降噪和盲源分离的定频通信抗宽带阻塞干扰方法。针对信号降噪效果受小波函数、阈值选取规则和阈值处理方法影响较大的问题,确定了最佳小波阈值降噪参数,在此基础上对不同盲源分离算法进行了仿真对比。仿真结果表明:盲源分离可提高定频通信信号抗宽带阻塞干扰的能力,采用小波降噪盲源分离后,输出信号的误码率性能进一步得到改善。 Aiming at the problem that the performance of blind source separation is greatly affected by noise and the noise reduction ability of traditional albino pretreatment method is limited, a method based on wavelet denoising and blind source separation is proposed. Aiming at the problem that the signal denoising effect is greatly affected by the wavelet function, threshold selection rule and threshold processing method, the optimal wavelet threshold denoising parameters are determined. Based on this, the different blind source separation algorithms are simulated and compared. The simulation results show that blind source separation can improve the ability of fixed-frequency communication signals to resist the jamming of broadband, and the bit error rate performance of the output signal is further improved after blind source separation by wavelet denoising.