DocumentCode :
2365141
Title :
Hybrid RSS/AOA emitter location estimation based on least squares and maximum likelihood criteria
Author :
Wang, Sichun ; Jackson, Brad R. ; Inkol, Robert
Author_Institution :
Defence R&D Canada-Ottawa, Ottawa, ON, Canada
fYear :
2012
fDate :
28-29 May 2012
Firstpage :
24
Lastpage :
29
Abstract :
Linear least squares (LS) and maximum likelihood (ML) estimators are derived for emitter geolocation using both received signal strength (RSS) and angle of arrival (AOA) information obtained from an heterogeneous sensor array. The results of simulation experiments provide useful insights into the behavior of these hybrid approaches and demonstrate that the use of simple RSS sensors to augment traditional AOA sensors can significantly improve the attainable geolocation accuracy.
Keywords :
direction-of-arrival estimation; least squares approximations; maximum likelihood estimation; angle of arrival information; emitter geolocation; heterogeneous sensor array; hybrid RSS/AOA emitter location estimation; least squares criteria; linear least squares; maximum likelihood criteria; maximum likelihood estimators; received signal strength; Equations; Geology; Least squares approximation; Linear systems; Loss measurement; Maximum likelihood estimation; Standards; Angle of arrival (AOA); hybrid emitter localization; linear least squares estimation; maximum likelihood estimation; received signal strength (RSS); von Mises distribution;
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.2012.6221344
Filename :
6221344
Link To Document :
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