抑制无线电通信信号中的干扰是提高通信可靠性的有效措施。传统的干扰抑制技术存在算法、设备复杂，对信号有损伤和实时性差等问题。针对存在的问题，在分析研究盲源分离(BSS)的理论基础上建立了基于最大信噪比算法的ICA通信干扰抑制模型；基于该模型仿真实现了无线电通信信号的分离提取和多路干扰信号的抑制。仿真结果表明，基于ICA的干扰抑制技术能够抑制无线电通信信号中的各类干扰。

Rejection of the interference in radio communication signals is an effective measure for improving the communication reliability.The conventional technologies for interference rejection have the shortcomings of complicated algorithms and equipments，loss of useful signals，and poor real-time performance.In view of the existing problems，the Blind Source Separation (BSS) was theoretically analyzed and the ICA interference rejection model based on the arithmetic of maximum signal-to-noise ratio was established. Based on the model，simulation was made to separate and extract the radio communication signal from undesired signals.The results show that the technology of ICA-based interference rejection can be used to reject diversified interfering signals mixed in the radio communication signal.