[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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3　赵群. 基于高分辨一维距离像的雷达目标识别与检测: [ 学位论文] . 西安: 西安电子科技大学, 1995
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8　Linde Y, Buzo A, Gr ay R. An alg or ithm fo r vector quantizer desig n. IEEE T rans on Com 1980, 28( 1) : 84～88

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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