{"title":"The Study of Adaptive Line Spectrum Enhancement by Pressure and Particle Velocity Combined","authors":"Zhang Wei, Jinfang Cheng, Li Nan","doi":"10.1109/IHMSC.2012.108","DOIUrl":null,"url":null,"abstract":"In order to solve the problem of underwater acoustic target detection and identification in the low-frequency, long-range, advantages of the vector hydrophone characteristics which measures three dimensional acoustic particle velocity vector, as well as the acoustic pressure at one location, are used to improved the acoustic pressure adaptive line spectrum enhancer. Analysis of simulation data under different SNR and measured target radiated noise data show that the performance of pressure and particle velocity combined adaptive line enhancer on target radiated noise characteristic line spectrum is indeed better than the traditional ones in low SNR cases.","PeriodicalId":431532,"journal":{"name":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IHMSC.2012.108","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In order to solve the problem of underwater acoustic target detection and identification in the low-frequency, long-range, advantages of the vector hydrophone characteristics which measures three dimensional acoustic particle velocity vector, as well as the acoustic pressure at one location, are used to improved the acoustic pressure adaptive line spectrum enhancer. Analysis of simulation data under different SNR and measured target radiated noise data show that the performance of pressure and particle velocity combined adaptive line enhancer on target radiated noise characteristic line spectrum is indeed better than the traditional ones in low SNR cases.