基于隐 Markov 模型的雷达目标识别技术研究  

Study of Technology of Radar Target Identification Based on Hidden Markov Model

作　　者：周德全[1] 刘国岁[1] 王建新[1] 

机构地区：[1]南京理工大学电子工程与光电技术学院

出　　处：《南京理工大学学报》1998年第3期224-227,251,共5页Journal of Nanjing University of Science and Technology

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．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.

关 键 词：雷达 目标识别 特征提取 隐MARKOV模型 

分 类 号：TN957.51[电子电信—信号与信息处理]