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
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;
Conference_Titel :
Vehicular Technology Conference Fall (VTC 2010-Fall), 2010 IEEE 72nd
Conference_Location :
Ottawa, ON
Print_ISBN :
978-1-4244-3573-9
Electronic_ISBN :
1090-3038
DOI :
10.1109/VETECF.2010.5594102
