• Reduced Complexity Semidefinit...

Result: Reduced Complexity Semidefinite Relaxation Algorithms for Source Localization Based on Time Difference of Arrival

Title:
Reduced Complexity Semidefinite Relaxation Algorithms for Source Localization Based on Time Difference of Arrival
Authors:
ENYANG XU, ZHI DING, DASGUPTA, Soura
Source:
IEEE transactions on mobile computing. 10(9):1276-1282
Publisher Information:
New York, NY: IEEE Computer Society, 2011.
Publication Year:
2011
Physical Description:
print, 15 ref
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Telecommunications, Télécommunications, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Telecommunications et theorie de l'information, Telecommunications and information theory, Théorie de l'information, du signal et des communications, Information, signal and communications theory, Théorie du signal et des communications, Signal and communications theory, Signal, bruit, Signal, noise, Détection, estimation, filtrage, égalisation, prédiction, Detection, estimation, filtering, equalization, prediction, Algorithme recherche, Search algorithm, Algoritmo búsqueda, Bruit coloré, Color noise, Ruido coloreado, Complexité algorithme, Algorithm complexity, Complejidad algoritmo, Détection cible, Target detection, Detección blanco, Localisation source, Source localization, Localización fuente, Méthode minimax, Minimax method, Método minimax, Relaxation, Relajación, Temps arrivée, Arrival time, Tiempo llegada, Temps exécution, Execution time, Tiempo ejecución, semidefinite programming, time difference of arrival
Document Type:
Academic journal Article
File Description:
text
Language:
English
Author Affiliations:
Department of Electrical and Computer Engineering, University of California, Davis, 2064 Kemper Hall, 1 Shields Avenue, Davis, CA 95616, United States
Department of Electrical and Computer Engineering, 5322 Seamans Center for the Engineering Arts and Sciences, University of Iowa, Iowa City, IA 52242, United States
ISSN:
1536-1233
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=24426534
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Telecommunications and information theory
Accession Number:
edscal.24426534
Database:
PASCAL Archive

Further Information

We investigate the problem of source localization based on measuring time difference of signal arrivals (TDOA) from the source emitter. Taking into account the colored measurement noise, we adopt a min-max principle to develop two lower complexity semidefinite relaxation algorithms that can be reliably solved using semidefinite programming. The reduction of algorithm complexity is achieved through a simple, but effective method to select a reference node among participating measurement nodes such that only selective time differences of signal arrival are exploited. Our estimation methods are insensitive to the source locations and can be used either as the final location estimate or as the initial point for more traditional search algorithms.