基于Hough变换撤票策略的目标微多普勒提取

摘要

微动特征的提取对于目标识别具有重要意义,但现有算法提取多分量旋转目标微多普勒参数的计算量太大.针对这一问题,提出了一种Hough变换撤票策略,对时频空间进行Hough变换得到参数空间,对已包含所有信息的参数空间进行多次撤票,便可分步得到微多普勒信号参数.仿真实验验证了该方法的有效性.%The information extraction from multiple spinning micro-Doppler (mD) scatters is of significance in target identification.Existing method to extract information which maps time-frequency plane to parameter space repeatedly is time consuming.The withdrawal vote strategy based on hough transform (HT),which could reduce the calculation time span,is put forward.The numerical experiment is given.