{"title":"Matched field processing gain for vertical and horizontal arrays","authors":"R. D. Huston, J. Ozard","doi":"10.1109/PACRIM.1989.48426","DOIUrl":null,"url":null,"abstract":"Array gain and accuracy of source localization from matched field processing (MFP) were determined for a variety of vertical and horizontal arrays (of hydrophones). A stationary source was assumed, and sound propagation was modeled by normal modes. Either white noise or planar isotropic noise was added to the signal to represent uncorrelated or correlated noise environments. MFP was used with either a generalized beamformer or an eigenvector method. Localization and array gain were often better with the eigenvector method. Accurate localization in range, depth and bearing was obtained with two vertical line arrays separated by lambda /2 or with a horizontal line array composed of two short arrays with lambda /2 spacings which are widely separated.<<ETX>>","PeriodicalId":256287,"journal":{"name":"Conference Proceeding IEEE Pacific Rim Conference on Communications, Computers and Signal Processing","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Proceeding IEEE Pacific Rim Conference on Communications, Computers and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PACRIM.1989.48426","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
Array gain and accuracy of source localization from matched field processing (MFP) were determined for a variety of vertical and horizontal arrays (of hydrophones). A stationary source was assumed, and sound propagation was modeled by normal modes. Either white noise or planar isotropic noise was added to the signal to represent uncorrelated or correlated noise environments. MFP was used with either a generalized beamformer or an eigenvector method. Localization and array gain were often better with the eigenvector method. Accurate localization in range, depth and bearing was obtained with two vertical line arrays separated by lambda /2 or with a horizontal line array composed of two short arrays with lambda /2 spacings which are widely separated.<>