A fast range alignment approach for ISAR imaging based on minimum entropy criterion

The range alignment method of ISAR imaging based on the minimum entropy has heaven computational burden and needs long searching time. Aimed at the burden, under the same rule, a novel fast range alignment approach was proposed. The approach mainly makes use of the character that the synthesizing vector generated by two adjacent range echoes has different wave entropy at different time delay, thus the range alignment can be realized with varied step searching manner to reduce searching time and meet the requirement for real processing. The results of the real data processing show the validity of the proposed method.