电讯技术2016，Vol.56Issue(9)：969-975,7.DOI:10.3969/j.issn.1001-893x.2016.09.004
基于微多普勒特征的单人与小分队分类技术
Technology for Classifying an Individual Soldier and a Small Group Based on Micro-Doppler Features
摘要
Abstract
Human walking is typical non-rigid motion and the swing periods for different men are usually not same. Through exacting three effective features,including the sum of the normalized magnitude,Doppler spectral line number and the standard deviation of spectrum width,a classifier of support vector machine ( SVM) is used to distinguish an individual soldier and a small group for short dwell time. The average rec-ognition rate is more than 90%. The experiments show that the proposed features are effective and robust.关键词
行人分类/雷达参数设计/微多普勒/特征提取/支持向量机Key words
human classification/radar parameter design/micro-Doppler/feature extraction/support vector machine分类
信息技术与安全科学引用本文复制引用
罗丁利,王勇,杨磊,王亚军..基于微多普勒特征的单人与小分队分类技术[J].电讯技术,2016,56(9):969-975,7.
