Underwater tracking of a maneuvering target using time delay measurements

dc.contributor.author	Κατσικάς, Σωκράτης Κ.	el
dc.contributor.author	Λερός, Ασημάκης Κ.	el
dc.contributor.author	Λαϊνιώτης, Δημήτριος Γ.	el
dc.date.accessioned	2015-06-07T21:59:30Z
dc.date.available	2015-06-07T21:59:30Z
dc.date.issued	2015-06-08
dc.identifier.uri	http://hdl.handle.net/11400/15572
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://www.sciencedirect.com/science/article/pii/016516849400087G	el
dc.subject	Adaptive estimation
dc.subject	Bias estimation
dc.subject	Passive target tracking
dc.subject	Παθητική παρακολούθηση στόχου
dc.subject	Underwater target tracking
dc.subject	Υποβρύχια παρακολούθησης του στόχου
dc.title	Underwater tracking of a maneuvering target using time delay measurements	en
heal.type	journalArticle
heal.classification	Engineering
heal.classification	Computer science
heal.classification	Μηχανική
heal.classification	Πληροφορική
heal.classificationURI	http://skos.um.es/unescothes/C01363
heal.classificationURI	http://skos.um.es/unescothes/C00750
heal.classificationURI	N/A-Μηχανική
heal.classificationURI	N/A-Πληροφορική
heal.identifier.secondary	DOI: 10.1016/0165-1684(94)00087-G
heal.language	en
heal.access	campus
heal.recordProvider	Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Πολιτικών Μηχανικών Τ.Ε και Μηχανικών Τοπογραφίας & Γεωπληροφορικής Τ.Ε.	el
heal.publicationDate	1995-01
heal.bibliographicCitation	Katsikas, S., Leros, A., and Lainiotis, D. (1995). Underwater tracking of a maneuvering target using time delay measurements. "Signal Processing", 41(1), January 1995. pp. 17-29. Available from: http://www.sciencedirect.com/science/article/pii/016516849400087G. [Accessed 13/03/2000]	en
heal.abstract	The problem of estimating the relative position of an underwater maneuvering target is treated as an estimation problem when an unknown and time varying bias is present in the plant noise process. Pilot-initiated maneuvers are modeled as impulsive unknown inputs affecting the bias term at times unknown to the observer. A new algorithm, capable of efficiently handling the problem of state estimation with time varying unknown bias, is derived by using the Lainiotis multimodel partitioning theory coupled with conventional constant bias estimation algorithms. Simulation results show that the proposed algorithm performs very well under adverse operating conditions, such as high measurement noise, long target to observer range and large-scale target maneuvers.	en
heal.journalName	Signal Processing	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true