Blind source separation of frequency-hopped signals is a challenging problem for cases involving multipath exhibiting temporal and angular spread. A novel solution is proposed that exploits polarization-frequency correlation to separate signals, enabling association of hopped signal in these adverse conditions. Performance depends upon signal-to-noise ratios and channel-induced signal feature differences. The method has the advantage of not requiring model order estimation of multipath. The efficacy of the approach is demonstrated in experiments and numerical analyses.

中文翻译：

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选频信道中的跳频信号源识别

对于涉及表现出时间和角度扩展的多径的情况，跳频信号的盲源分离是一个具有挑战性的问题。提出了一种新颖的解决方案，它利用极化频率相关性来分离信号，从而能够在这些不利条件下关联跳频信号。性能取决于信噪比和通道引起的信号特征差异。该方法具有不需要多径模型阶次估计的优点。该方法的有效性在实验和数值分析中得到了证明。