A new ISAR range alignment method based on particle swarm optimizer

The particle swarm optimizer algorithm (PSO) is a recently developed evolutionary search technique, In order to improve the precision of range alignment in ISAR data processing, a new method is presented based on particle swarm optimizer. The range profile distance is used as fitness function in PSO searching motion parameters, which evaluate each individual based on target range profiles, in such case the computational cost is strongly reduced. The experiment analysis on simulation data and the real ship data verify the effectiveness of the novel algorithm.