Robust cooperative sensor network localization via the EM criterion in LOS/NLOS environments
2013 (English)In: IEEE 14th Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2013, IEEE , 2013, 505-509 p.Conference paper (Refereed)
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.
Place, publisher, year, edition, pages
IEEE , 2013. 505-509 p.
Cramér-Rao lowerbound (CRLB), expectation - maximization (EM) criterion, Gaussian mixture, non-line-of-sight (NLOS), robust cooperative localization
IdentifiersURN: urn:nbn:se:liu:diva-121627DOI: 10.1109/SPAWC.2013.6612101ISBN: 978-1-4673-5577-3OAI: oai:DiVA.org:liu-121627DiVA: diva2:857379
IEEE 14th Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Darmstadt, Germany, June 16-19, 2013