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