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地面低速目标与背景模式分类和识别方法研究
引用本文:张飞鹏.地面低速目标与背景模式分类和识别方法研究[J].探测与控制学报,2007,29(2):8-11.
作者姓名:张飞鹏
作者单位:西安机电信息研究所,陕西,西安,710065
摘    要:识别地面低速目标是无线电近炸引信信号处理研究的难点之一。研究了基于连续波多普勒体制无线电近炸引信的地面低速目标与地面背景的分类问题。在分析目标与背景时域与频域特性的基础上,利用线性分类器和支持向量机进行分类识别实验,结果表明所提出的方法是可行的。

关 键 词:无线电近炸引信  多普勒周期  支持向量机  线性分类器
文章编号:1008-1194(2007)02-0008-04
收稿时间:2007-02-06
修稿时间:2007-02-06

Research on the Pattern Classification and Recognition about Slow Target and Its Background
ZHANG Fei-peng.Research on the Pattern Classification and Recognition about Slow Target and Its Background[J].Journal of Detection & Control,2007,29(2):8-11.
Authors:ZHANG Fei-peng
Abstract:Recognizing slow target on ground is one of difficult research topic in radio proximity fuze signal processing field. The problem of classifying slow target and its background of radio proximity fuze based on continuous Doppler mechanism is studied in this paper. After analyzing their charicteristics in time and frequency domains, two classifying experiments were performed by means of linear classifier and support vector machine, respectively. The results show the method is efficient.
Keywords:radio proximity fuze  Doppler period  support vector machine(SVM)  linear classifier
本文献已被 CNKI 维普 万方数据 等数据库收录!
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