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基于隐马尔可夫模型的舰船辐射噪声目标识别
引用本文:钟建,戴卫国.基于隐马尔可夫模型的舰船辐射噪声目标识别[J].青岛大学学报(自然科学版),2006,19(2):34-37.
作者姓名:钟建  戴卫国
作者单位:海军潜艇学院,山东,青岛,266071
摘    要:将隐马尔可夫模型引入到舰船噪声目标识别中。选择MEL频率倒谱及其差值参数作为模型的观察序列,分别采用Baum-Welch算法和Viterbi算法对模型进行训练和识别。对这一模型进行了计算机模拟,并利用潜艇、鱼雷和水面舰3类目标的海上实录噪声对其识别性能进行了测试,正确识别率为87%。实验表明,用隐马尔可夫模型对舰船辐射噪声进行目标识别可以取得较好的效果。

关 键 词:舰船  辐射噪声  识别  隐马尔可夫模型
文章编号:1006-1037(2006)02-0034-04
收稿时间:2006-03-29
修稿时间:2006年3月29日

Ship-Radiated Noise Recognition Based on Hidden Markov Models
ZHONG Jian,DAI Wei-guo.Ship-Radiated Noise Recognition Based on Hidden Markov Models[J].Journal of Qingdao University(Natural Science Edition),2006,19(2):34-37.
Authors:ZHONG Jian  DAI Wei-guo
Abstract:Hidden Markov Models are introduced to the area of ship-radiated noise recognition.Mel-Frequency Cepstral Coefficients and the differencing parameters are used as characteristics,and BaumWelch algorithm and Viterbi algorithm are used as training and recognizing method respectively.The model is cyber-simulated and three types of ship noise are used to analyze its recognizing ability.The recognizing rate is 87%.The results show that HMMs are feasible to ship-radiated noise recognition.
Keywords:ship  radiated noise  recognition  Hidden Markov Models
本文献已被 CNKI 维普 万方数据 等数据库收录!
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