Title :
Multiple transmitter localization via interference subtraction
Author :
Almodovar, J.E. ; Nelson, J.K.
Author_Institution :
Dept. of Electr. & Comput. Eng., George Mason Univ., Fairfax, VA
Abstract :
We consider the estimation of the locations of multiple transmitters based on received signal strength measurements at a network of randomly-placed receivers. We develop a simple and computationally efficient interference subtraction method for estimating the locations of multiple emitters that transmit simultaneously in adjacent coverage areas. The method estimates the location of each emitter independently by computing a low-complexity approximation to the maximum likelihood location estimate. Results reveal that, under constraints on computational complexity, the proposed interference subtraction method outperforms competing schemes in multiple transmitter localization.
Keywords :
cognitive radio; computational complexity; interference suppression; maximum likelihood estimation; radio transmitters; spread spectrum communication; interference subtraction method; maximum likelihood location estimation; multiple transmitter localization; opportunistic spectrum access cognitive radio networks; randomly-placed receivers; received signal strength; Cognitive radio; Computational complexity; Computer networks; Databases; Frequency; Interference; Power measurement; Radio transmitters; Radiofrequency identification; Shadow mapping; Cognitive radio; Localization; Spectrum sensing;
Conference_Titel :
Information Sciences and Systems, 2009. CISS 2009. 43rd Annual Conference on
Conference_Location :
Baltimore, MD
Print_ISBN :
978-1-4244-2733-8
Electronic_ISBN :
978-1-4244-2734-5
DOI :
10.1109/CISS.2009.5054741