DocumentCode
2890362
Title
A complex convex relaxation for approximate maximum likelihood 2D energy-based source localization in sensor networks
Author
Beko, Marko
Author_Institution
Univ. Lusofona de Humanidades e Tecnol., Lisbon, Portugal
fYear
2010
fDate
19-22 Sept. 2010
Firstpage
150
Lastpage
153
Abstract
This paper addresses the energy-based self-localization problem in wireless sensor networks. An approximate solution to the maximum likelihood location estimation problem is presented, by redefining the problem in the complex plane and relaxing the minimization problem into semidefinite programming form. Simulation results show that the presented method is effective at moderate to high noise levels.
Keywords
convex programming; maximum likelihood estimation; wireless sensor networks; approximate maximum likelihood 2D energy-based source localization; complex convex relaxation; energy-based self-localization problem; maximum likelihood location estimation problem; semidefinite programming; wireless sensor networks; Maximum likelihood estimation; Noise; Optimization; Programming; Simulation; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communication Systems (ISWCS), 2010 7th International Symposium on
Conference_Location
York
ISSN
2154-0217
Print_ISBN
978-1-4244-6315-2
Type
conf
DOI
10.1109/ISWCS.2010.5624322
Filename
5624322
Link To Document