针对窄带干扰下通信系统性能恶化的问题, 提出一种基于过采样与盲源分离技术的单通道窄带干扰抑制算法。该算法利用通信信号与窄带干扰的基带结构特征, 通过过采样以及串并变换构造出源信号为信息序列的盲源分离模型, 并利用快速独立成分分析法实现信息码元的恢复。仿真结果表明, 该算法能有效对抗窄带干扰, 抗干扰能力强。

To cope with the performance deterioration of communication system with narrow-band interference, an interference suppression scheme based on oversampling and Blind Sources Separation (BSS) in single channel is proposed. By exploiting the baseband structural features of narrow-band interference and communication signal, a BSS model is formed by oversampling and serial-to-parallel conversion. Then Independent Component Analysis(ICA) is utilized to solve the BSS problem and to recover the information symbols of communication signal. Simulation results further demonstrate that the scheme is effective to suppress narrow-band interference.