STAP for airborne HPRF pulse Doppler radar: developing and testing of algorithm on both simulated and real data

This paper present a STAP algorithm for an airborne high PRF pulse Doppler sensor based on clutter segmentation process that allows the inversion of a LN x LN matrix instead of MN x MN estimated on a single CPI (coherent processing interval). Since the radar works with the spectra of the received signals itpsilas possible to obtain the estimation of the covariance matrix simply eliminating from the CPI space-time data frame the Doppler bins containing the target. The computational reduction makes the algorithm possible to be implemented in a real time system. Results coming from both experimental data (air carry trials, test laboratory) and simulated one show good results in terms of clutter rejection and target enhancement.