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Robust outliers detection and classification for USBL underwater positioning systems
Morgado M.1; Oliveira P.1; Silvestre C.1
2015
Source PublicationLecture Notes in Electrical Engineering
Volume321 LNEE
Pages555-565
AbstractThis paper presents a data classification algorithm able to detect corrupted measurements as outliers, with application to underwater ultra-short baseline (USBL) acoustic positioning systems. The devised framework is based on causal median filters that are readily implementable, and a set of theoretical analysis tools that allows for the design of the filter parameters is also presented. The design takes into account very specific implementation details of USBL acoustic positioning systems and also inherent non-ideal characteristics that include long period data outages. The outlier classifier is evaluated both in simulation and with experimental data from a prototype USBL acoustic positioning system fully developed in-house. © 2015 Springer International Publishing.
DOI10.1007/978-3-319-10380-8_53
URLView the original
Language英語
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Cited Times [WOS]:1   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionUniversity of Macau
Affiliation1.Instituto Superior Técnico
2.Universidade de Macau
Recommended Citation
GB/T 7714
Morgado M.,Oliveira P.,Silvestre C.. Robust outliers detection and classification for USBL underwater positioning systems[C],2015:555-565.
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