{"title":"Robust smoothing to improve position estimates of vocalizing marine mammals","authors":"I. Urazghildiiev, C. Clark","doi":"10.1109/PASSIVE.2008.4786993","DOIUrl":null,"url":null,"abstract":"The problem of robust smoothing of position estimates provided by passive localization methods is considered. A new robust statistic is introduced, and the smoothing algorithm is represented in the closed form. The proposed technique is based on a priori information regarding the maximum speed of the animal and the typical accuracy provided by the measuring system. The test results demonstrate that the proposed smoother provides a high degree of position estimate accuracy when more than 50% of the initial position estimates are contaminated by outliers.","PeriodicalId":153349,"journal":{"name":"2008 New Trends for Environmental Monitoring Using Passive Systems","volume":"60 41","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 New Trends for Environmental Monitoring Using Passive Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PASSIVE.2008.4786993","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The problem of robust smoothing of position estimates provided by passive localization methods is considered. A new robust statistic is introduced, and the smoothing algorithm is represented in the closed form. The proposed technique is based on a priori information regarding the maximum speed of the animal and the typical accuracy provided by the measuring system. The test results demonstrate that the proposed smoother provides a high degree of position estimate accuracy when more than 50% of the initial position estimates are contaminated by outliers.