Performance of recursive suppression algorithm in nonstationary environments

Adaptive superresolution algorithms possess the inherent ability to adapt to nonstationary environments. 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. An implementation of the recursive suppression algorithm using digital signal processing is presented