基于距离和差值序列的复杂运动目标微动特征提取  

Micro-Motion Signature Extraction of Targets with Complex Motions Based on Summation and Difference Sequence of Ranges

作　　者：贺峰[1] 刘承兰[1] 朱国富[1] 黄晓涛[1] 周智敏[1] 

机构地区：[1]国防科学技术大学电子科学与工程学院,湖南长沙410073

出　　处：《电子学报》2012年第3期422-428,共7页Acta Electronica Sinica

基　　金：国家自然科学基金(No.60972121);教育部新世纪优秀人才支持计划(No.NCET-07-0223)

摘　　要：针对由平动和摆动构成的复杂运动目标微动特征提取,提出一种基于距离和差值序列的微动特征提取新方法.该方法首先从复杂运动目标一维距离像估计距离和差值,再利用时间-距离像的距离和差值序列提取目标不同散射点的摆动幅度、摆动周期等微动参数并准确估计出目标平动距离.分析了算法适用条件,开展了仿真实验,仿真结果验证了理论分析的正确性和算法的有效性.该特征提取方法可推广应用于一般平动与旋转等其他周期性运动构成的复杂运动目标微动特征提取.A novel method based on summation and difference sequence of ranges is proposed in order to extract micro-motion signatures of targets with complex motions which are composed of translation and vibration.The method estimates summation and difference of ranges from one dimensional range profile and obtains summation and difference sequence of ranges from time-range profiles of targets.Vibration amplitudes and vibration periods of different scatterers are achieved and translation ranges of targets are exactly acquired from summation and difference sequence.The restrictive conditions of the method were analyzed and simulation experiments were carried out.Simulation results validate the theoretical analysis and the signature extraction method.The method discussed in the paper can be extended to analyze other targets with general translation and other periodic motions.

关 键 词：距离像 和差值序列 微动 特征提取 

分 类 号：TN95[电子电信—信号与信息处理]