DocumentCode
2365301
Title
Relationship between the maximum likelihood emitter location estimators based on received signal strength (RSS) and received signal strength difference (RSSD)
Author
Wang, Sichun ; Inkol, Robert ; Jackson, Brad R.
Author_Institution
Defence R&D Canada-Ottawa, Ottawa, ON, Canada
fYear
2012
fDate
28-29 May 2012
Firstpage
64
Lastpage
69
Abstract
Under the assumption of a log-normal path loss model, maximum likelihood (ML) emitter location estimators are derived for both received signal strength (RSS) and received signal strength difference (RSSD) information. It is then shown that these ML estimators are identical, contrary to the seemingly common perception that the RSS-based ML location estimator should outperform the RSSD-based ML location estimator. The Cramer-Rao lower bounds (CRLB) for the average miss distance are also shown to be identical. Using the least squares estimation criterion, a non-linear least squares (NLS) emitter location estimator is also formulated in this paper for comparison. These theoretical developments are illustrated by computer simulation experiments.
Keywords
least squares approximations; maximum likelihood estimation; signal processing; CRLB; Cramer-Rao lower bounds; ML emitter location estimators; NLS emitter location estimator; RSSD; RSSD-based ML location estimator; computer simulation; least squares estimation criterion; log-normal path loss model; maximum likelihood emitter location estimators; nonlinear least square emitter location estimator; received signal strength difference; Computational modeling; Indexes; Least squares approximation; Loss measurement; Maximum likelihood estimation; Vectors; Cramer-Rao lower bound (CRLB); Emitter location estimation; Fisher information matrix; least squares criterion; log-normal path loss model; maximum likelihood criterion; received signal strength (RSS); received signal strength difference (RSSD);
fLanguage
English
Publisher
ieee
Conference_Titel
Communications (QBSC), 2012 26th Biennial Symposium on
Conference_Location
Kingston, ON
Print_ISBN
978-1-4673-1113-7
Electronic_ISBN
978-1-4673-1112-0
Type
conf
DOI
10.1109/QBSC.2012.6221353
Filename
6221353
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