Frequency-Hopped Signal Source Identification in Frequency-Selective Channels

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.