Super resolution feature extraction of moving targets

High range resolution (HRR) moving target indicator (MTI) is becoming incre asingly important for many military and civilian applications such as the d etection and classification of moving targets in strong clutter background. We consider the problem of extracting the HRR features of moving targets w ith very closely spaced scatterers in the presence of strong stationary clu tter, where the range migration and Doppler frequency are taken into accoun t. A relaxation-based algorithm, which is robust and computationally simple , is proposed to deal with the above problem. Numerical results have shown that the proposed algorithm exhibits super resolution and excellent estimat ion performance.