Comparison of adaptive superresolution with MUSIC algorithm

Adaptive superresolution algorithms possess the inherent ability to adapt to nonstationary environments. In this paper, a representative adaptive algorithm, the recursive suppression algorithm, is shown to provide much better resolution than the MUSIC algorithm when the average signal-to-noise ratios at array outputs are low and there are power variations or there is relative motion between the array and closely spaced signal sources