Radar clutter suppression with beam-Doppler image feature recognition (BDIFR) method

In this work, an innovative ground moving target detection method termed as beam-Doppler image feature recognition (BDIFR) is introduced for airborne radar ground moving target detection in clutter. The received radar echo data in space-time domain is transformed from the space-time domain to the beam-Doppler domain via either 2D-DFT or minimum variance (MV) based method depending on the number of space-time snapshots available. After that, the moving target is distinguished from clutter based on the different distribution features of target and clutter in beam-Doppler domain through the minimum-distance based region growing (MDB-RG) processing. The effectiveness of the BDIFR approach has been validated through various simulations.