Title :
Hybrid localization of an emitter by combining angle-of-arrival and received signal strength measurements
Author :
Chan, Y.T. ; Chan, Francois ; Read, William ; Jackson, Brad R. ; Lee, B.H.
Author_Institution :
Dept. of Electr. & Comput. Eng., R. Mil. Coll. of Canada, Kingston, ON, Canada
Abstract :
Emitter localization, using different types of sensors and integrating their output properly can potentially increase localization accuracy. It is relatively easy to measure the received signal strength (RSS), but RSS localization is generally less accurate than angle-of-arrival (AOA) localization in most practical environments. When both RSS and AOA are available, fusing their measurements can improve localization accuracy. This paper develops a set of linear equations that optimally combines both AOA and RSS measurements, and is suitable for solution by weighted least squares. The simulation results show that at sufficiently low noise, the hybrid scheme is near optimal.
Keywords :
direction-of-arrival estimation; least squares approximations; AOA localization; RSS localization; RSS measurement; angle-of-arrival localization; emitter hybrid localization; linear equation; localization accuracy improvement; received signal strength measurement; weighted least squares; Accuracy; Antenna measurements; Equations; Noise; Sensors; Simulation; Vectors; Cramer Rao lower bound; angle-of-arrival; localization; received signal strength; weighted least squares;
Conference_Titel :
Electrical and Computer Engineering (CCECE), 2014 IEEE 27th Canadian Conference on
Conference_Location :
Toronto, ON
Print_ISBN :
978-1-4799-3099-9
DOI :
10.1109/CCECE.2014.6900968
