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基于隐Markov模型的雷达目标识别技术研究
引用本文:周德全 刘国岁. 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, 22(3): 224-227,251
作者姓名:周德全 刘国岁
作者单位:南京理工大学电子工程与光电技术学院
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验证上述方法的效性,取得了99.33%的识别率。

关 键 词:雷达 目标识别 特征提取 隐Markov模型

Study of Technology of Radar Target Identification Based on Hidden Markov Model
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(Nature Science), 1998, 22(3): 224-227,251
Authors:Zhou Dequan Liu Guosui Wang Jianxin
Abstract:A method of feature extraction of incoherent average, multiresolution decomposition, Fourier transformation is proposed. The hidden Markov model (HMM) technique is used to identify feature sequences resulting from range profile sequences. A data set of real radar range profile of three class aircrafts gotten from an ISAR is used to test the effectiveness of above methods. Identification accuracy of 99.33% is obtained.
Keywords:radar   target identification   range profile   feature extraction  hidden Markov model  
本文献已被 CNKI 维普 等数据库收录!
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