基于距离最近原则的微多普勒曲线分离和特征提取  

Micro-Doppler Curve Separation and Feature Extraction Based on the Principle of the Closest Distance

作　　者：罗亚宗 冯有前[2] 李松[1] 张栋[1] 岳韶华[1] 

机构地区：[1]空军工程大学防空反导学院,西安710051 [2]空军工程大学理学院,西安710051

出　　处：《科学技术与工程》2014年第30期186-190,共5页Science Technology and Engineering

基　　金：国家自然科学青年科学基金项目(61102109);国家自然科学基金项目(61372166)资助

摘　　要：为了分离微动目标的微多普勒曲线,提取有效的特征参数,提出了一种基于距离最近原则的微多普勒曲线分离和特征提取方法。首先建立了双基地雷达滑动散射点的微动模型,分析了微多普勒特性,然后采用Hough变换剔除锥顶正弦曲线,通过距离最近原则分离出锥底散射点的非正弦微多普勒曲线,对分离出的非正弦曲线求最大值和最小值计算出振幅。通过仿真,验证了该方法的有效性。In order to separate Micro-Doppler curve of Micro-Motion target and extract the effective characteristic parameters,a Micro-Doppler signal separation and feature extraction method is put forword based on the principle of the closest distance.First the micro model on sliding scattering point of Bistatic radar is estalished and the Micro-Doppler features are analyzed.Then the Hough transform is used to eliminate cone top's sine curve,and scattering point on the conical bottom of non-sinusoidal Micro-Doppler curve is isolated through the principle of the closest distance,and amplitude is calculated by isolate the non-sinusoidal curve's maximum and minimum.Simulation results verify the method is effective.

关 键 词：时间距离像 距离最近原则 曲线分离 特征提取 

分 类 号：TN957[电子电信—信号与信息处理]