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针对低干信比和复杂动态情况下传统的干扰检测算法效率不高的问题,提出一种基于盲通信信号频域处理的未知干扰自动检测算法。该方法首先借助快速独立成份分析(FICA)从频谱差分数据中分离干扰和通信信号成份分量,然后利用各分量的峰度作为干扰与通信信号的识别特征检测干扰。实验结果表明,此算法能有效地在干信比小于5 dB的情况下从盲通信信号背景中自动提取未知干扰的信息,实现高精度地盲干扰检测。
Aiming at the problem of low interference ratio and low efficiency of traditional interference detection algorithm under complex dynamic conditions, an automatic detection algorithm of unknown interference based on frequency domain of blind communication signal is proposed. The method first separates the components of interference and communication signals from the spectral difference data by means of fast independent component analysis (FICA), and then uses the kurtosis of each component as the identification feature of the interference and communication signals to detect the interference. The experimental results show that this algorithm can effectively extract the unknown interference information from the blind communication signal background when the SSR is less than 5 dB, and realize blind interference detection with high accuracy.