DocumentCode
2456831
Title
A Fuzzy Logic Approach to Angle of Arrival Averaging
Author
Wang, Sichun ; Inkol, Robert
Author_Institution
Defence R&D Canada - Ottawa, Ottawa, ON, Canada
fYear
2010
fDate
6-9 Sept. 2010
Firstpage
1
Lastpage
5
Abstract
This paper derives a fuzzy logic-based approach to the averaging of angle of arrival (AOA) information. It is shown that the maximum likelihood (ML) approach to AOA averaging can be considered as a special case of the fuzzy logic approach. Computer simulations show that the ML and fuzzy logic approaches produce very similar results if the membership functions used in the fuzzy logic approach are appropriately constructed.
Keywords
direction-of-arrival estimation; fuzzy logic; maximum likelihood estimation; signal processing; angle of arrival averaging; computer simulations; fuzzy logic; maximum likelihood approach; Fuzzy logic; Fuzzy set theory; Maximum likelihood estimation; Probability density function; Random variables; Signal processing algorithms; Signal to noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicular Technology Conference Fall (VTC 2010-Fall), 2010 IEEE 72nd
Conference_Location
Ottawa, ON
ISSN
1090-3038
Print_ISBN
978-1-4244-3573-9
Electronic_ISBN
1090-3038
Type
conf
DOI
10.1109/VETECF.2010.5594102
Filename
5594102
Link To Document