Title :
Estimation of emitter power, location, and path loss exponent
Author :
Chan, Y.T. ; Lee, B.H. ; Inkol, R. ; Chan, Francois
Author_Institution :
Dept. of Electr. & Comput. Eng., R. Mil. Coll. of Canada, Kingston, ON, Canada
fDate :
April 29 2012-May 2 2012
Abstract :
Received Signal Strength (RSS) localization has the advantage of simplicity over common schemes that use angle-of-arrival, time-of-arrival, and time-difference-of-arrival information. Signal power is relatively easy to measure with low cost and light weight equipment. The RSS at a receiver is a function of distance between an emitter and receiver, the reference power η0, and the path loss exponent α. In many applications, limited a priori knowledge of α and η0 is available. Since using inaccurate values of α and η0 in the localization equations can introduce bias errors in the position estimate, it is preferable to estimate α, η0 and emitter position together. This paper develops a new formulation that leads to a least squares solution for the joint estimation of α, η0 and emitter position. In the simulation example, the estimation errors are close to the theoretical lower bound.
Keywords :
direction-of-arrival estimation; least squares approximations; time-of-arrival estimation; angle-of-arrival information; emitter position; emitter power estimation; estimation errors; least squares solution; localization equations; path loss exponent; position estimate; received signal strength localization; signal power; theoretical lower bound; time-difference-of-arrival information; time-of-arrival information; Cognitive radio; Equations; Estimation error; Least squares approximation; Mathematical model; Receivers; Cramer-Rao bounds; Localization; maximum likelihood estimation; received signal strength;
Conference_Titel :
Electrical & Computer Engineering (CCECE), 2012 25th IEEE Canadian Conference on
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4673-1431-2
Electronic_ISBN :
0840-7789
DOI :
10.1109/CCECE.2012.6334891