Paper Info
Title
Robust cooperative sensor network localization via the EM criterion in LOS/NLOS environments
Abstract
We investigate robust cooperative localization in LOS/NLOS environments in wireless sensor networks. Round-trip time-of-arrival signal metric is considered so that time synchronization among sensors can be avoided. Owing to the non-line-of-sight effect, we model the measurement error by a two-mode Gaussian mixture distribution. However, its parameters are assumed completely unknown. We propose a centralized localization algorithm, which jointly estimates the unknown geographical coordinates and the nuisance mixture model parameters. The expectation-maximization criterion is adopted here to implement the maximum likelihood estimator. In addition, we also compute the Cramér-Rao lower bound (CRLB) for our estimation problem and present the best achievable positioning accuracy in terms of the CRLB.
Year
DOI
Venue
2013
10.1109/SPAWC.2013.6612101
SPAWC
Keywords
DocType
ISSN
expectation-maximisation algorithm,expectation-maximization,maximum likelihood estimator,gaussian mixture distribution,expectation-maximization (em) criterion,cooperative communication,time-of-arrival signal metric,gaussian mixture,los-nlos environments,cramer-rao lower bound,cramér-rao lower bound (crlb),gaussian distribution,estimation theory,time synchronization,em criterion,nuisance mixture model parameters,robust cooperative sensor network localization,robust cooperative localization,geographical coordinates,non-line-of-sight (nlos),wireless sensor networks,crlb,nonline-of-sight effect,synchronisation,maximum likelihood estimation,control engineering,expectation maximization,cramer rao lower bound,signal processing,robustness
Conference
1948-3244
Citations 
PageRank 
References 
4
0.48
10
Authors
4
Name
Order
Citations
PageRank
Feng Yin112714.30
Abdelhak M. Zoubir21036148.03
Carsten Fritsche315714.72
Fredrik Gustafsson42287281.33