Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/84745
Title: Robust and efficient singular-value decomposition based algorithm for AUV localization and synchronization
Authors: Abeysekera, Saman S.
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2011
Source: Abeysekera, S. S. (2012). Robust and efficient singular-value decomposition based algorithm for AUV localization and synchronization. 2012 Oceans - Yeosu.
Abstract: This paper proposes a novel singular-value decomposition based algorithm that can be used in source localization and time synchronization using the time of arrival and/or the time difference of arrival measurements. The algorithm performance has been investigated in an autonomous underwater vehicle operating environment. Through extensive simulations the superiority of the algorithm has been demonstrated over the existing methods. It is shown that the proposed algorithm is robust in terms of matrix ill-conditioning and efficient in terms of achieving the Cramer-Rao lower bound for parameter estimation.
URI: https://hdl.handle.net/10356/84745
http://hdl.handle.net/10220/12332
DOI: 10.1109/OCEANS-Yeosu.2012.6263651
Rights: © 2011 IEEE.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Conference Papers

Page view(s) 10

687
Updated on Jun 26, 2022

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.