[1]周德全,刘国岁,王建新.基于隐 Markov 模型的雷达目标识别技术研究[J].南京理工大学学报(自然科学版),1998,(03):32-35.
 Zhou Dequan Liu Guosui Wang Jianxin.Study of Technology of Radar Target Identification Based on Hidden Markov Model[J].Journal of Nanjing University of Science and Technology,1998,(03):32-35.
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基于隐 Markov 模型的雷达目标识别技术研究()
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《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

卷:
期数:
1998年03期
页码:
32-35
栏目:
出版日期:
1998-06-30

文章信息/Info

Title:
Study of Technology of Radar Target Identification Based on Hidden Markov Model
作者:
周德全刘国岁王建新
南京理工大学电子工程与光电技术学院, 南京210094
Author(s):
Zhou Dequan Liu Guosui Wang Jianxin
School of Electronic Engineering and Optoelectric Technology, NUST, Nanjing 210094
关键词:
雷达 目标识别 一维距离像 特征提取 隐Marko v 模型
Keywords:
radar target ident ificat ion rang e prof ile feature ext raction hidden Mar ko v model
分类号:
TN957.51
摘要:
该文首先提出了非相干平均、多分辨率分解、富氏变换的特征提取方法;然后用隐Markov模型来描述、识别基于一维像的特征序列。3类ISAR飞机目标的实测数据用来验证上述方法的有效性,取得了99.33%的识别率
Abstract:
A method of featur e ex t ract ion of incoherent averag e, mult iresolut io n decompo sit io n, Fourier t ransformat ion is pro posed. The hidden Markov model ( HMM ) technique is used to ident ify featur e sequences result ing f rom r ange prof ile sequences. A data set of r eal radar rang e prof ile of three class air craf ts got ten from an ISAR is used to test the ef fectiv eness of above methods. Ident ification accuracy of 99. 33 % is obtained.

参考文献/References:

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备注/Memo

备注/Memo:
周德全 男 35 岁 博士生
更新日期/Last Update: 2013-03-29