MUSIC and ICA algorithms applied to full polarimetric ISAR imaging

This paper provides an overview of the results from application of the combined MUSIC-ICA algorithm to a fully polarimetric radar dataset. The results show that the application of the algorithm over two of the three dimensions of the data cube formed from the polarization, range and angle data spaces produces unique results which can yield information on target signatures, which would otherwise be indiscernible. The practical application of this combined algorithm has the potential to yield added robustness to target identification and characterization.