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《Journal of Projectiles,Rockets,Missiles and Guidance》 2007-05
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A Novel Low Altitude Passive Acoustic Target Identify Approach Research Based on MFCC and HMM

LIU Hui1,YANG Jun-an1,XU Xue-zhong2(1 PLA Electronic Engineering Institute,Hefei 230037,China;2 Northwestern Institute of Nuclear Technology,Xi'an 710613,China)  
An approach is proposed to identify low altitude passive acoustic target in battlefield.According to the hearing mechanism,MFCC which responses the characteristic of the sound more aggressively is extracted in the system.For the hidden Markov models work better in representing the time-variant signal,the HMM models are employed to simulate model change of the sound signals as the time going.K-means algorithm is used as cluster MFCC to produce training and identifying eigenvector.Simulation results indicate this approach is effective in target recognition.
【CateGory Index】: TN953
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