文章摘要
戴卫国,张宝华,程玉胜.隐马尔可夫模型在舰船噪声目标识别中的应用[J].声学技术,2008,(2):187~191
隐马尔可夫模型在舰船噪声目标识别中的应用
Ship-radiated noise recognition based on CHMM
投稿时间:2007-03-17  修订日期:2007-08-15
DOI:
中文关键词: 舰船辐射噪声  训练  识别  隐马尔可夫模型  MFCC
英文关键词: ship-radiated noise  train  recognition  Hidden Markov Models  MFCC
基金项目:
作者单位
戴卫国 海军潜艇学院, 青岛, 266071 
张宝华 解放军某部, 北京, 100841 
程玉胜 海军潜艇学院, 青岛, 266071 
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中文摘要:
      将Mel频率倒谱作为特征参数,实现了基于连续型隐马尔可夫模型的舰船辐射噪声目标识别。对五艘不同类别舰船的辐射噪声建立模型,并进行了识别实验。模型的状态数和高斯混合数分别确定为1和3,五艘舰船的平均识别率达到91.6%。利用两艘不同类型舰船的噪声分析了舰船的工况对识别结果的影响。
英文摘要:
      Ship-radiated noise recognition based on Continuous Hidden Markov Models(CHMM) is achieved.MelFrequency Cepstral Coefficients(MFCC) are used as features.Ship-radiated noises of five different classes are modeled and target recognition experiments are conducted.the number of states and Gaussian mixture is set to be 1 and 3 respectively.The average recognition rate is up to 91.6% for 5 different ships.Noises of two different ships are used to analyze the impact of different operating condi-tions on the recognition rate.
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