A New ISAR Range Alignment Method Based on Particle Swarm Optimizer

摘要：

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.

关键词： ISAR Range alignment PSO Range profile distance

作者: Peng Shibao Xu Jia Wang Libao Xiang Jiabin Peng Yingning

作者单位: Radar Imaging Center,Airforce Radar Academy,Wuhan 430019,China Department of Electronic Engineering.Tsinghua University,Beijing 100840,China School of Electronic Science and Engineering,NUDT,Changsha 410073,China

会议类型: 国际会议

会议名称: 2009 2nd Asian-Pacific Conference on Synthetic Aperture Radar(第二届亚太合成孔径雷达会议)

会议地点: 西安

会议语种:英文

页码: 618-621

在线出版日期: 2009-10-26（万方平台首次上网日期，不代表论文的发表时间）