An improvement ISAR range alignment algorithm

In general, the conventional Range Alignment methods can provide the satisfactory alignment result in Inverse Synthetic Aperture Radar (ISAR) image. However, because of the airflow disturbance or echo vibration, the target altitude may change and some echoes that deteriorate the precision of Alignment will appear. Considering this problem, echoes feature are analyzed in this paper. To remove the disturbed echoes, the Principal Component Feature Parameters (PCFP) of echoes are discussed. And the correlation of each echo with the PCFP by the euclidean distance are analyzed. Then, the deteriorating echoes can be extracted and separated through the proposed algorithm. The effectiveness and validity of algorithm are proved by simulation results.