DocumentCode :
549131
Title :
Accuracy analysis for TDOA localization in sensor networks
Author :
Kaune, Regina ; Hörst, Julian ; Koch, Wolfgang
Author_Institution :
Dept. SDF, Univ. of Bonn, Wachtberg, Germany
fYear :
2011
fDate :
5-8 July 2011
Firstpage :
1
Lastpage :
8
Abstract :
In this paper, passive emitter localization using Time Difference of Arrival (TDOA) measurements within a sensor network is investigated. Contrary to the case of a moving sensor pair the fact of correlated measurements in a single time step arises dependent on the choice of the measurement set. In tracking simulations, the Cramer Rao Lower Bound (CRLB) and simulation results are often computed assuming constant standard deviations of the incoming measurements. Though, the measurement error is parameter dependent, it depends for example on the emitter-sensors-geometry. In Monte Carlo simulations, a comparison is performed between the localization in a static sensor network with three sensors and the localization using a moving sensor pair. Measurements are generated assuming additive white Gaussian noise with constant and parameter dependent variance. Results confirm the attainable localization accuracy and show the superior performance of an additional sensor compared to additional motion.
Keywords :
AWGN; Monte Carlo methods; time-of-arrival estimation; wireless sensor networks; Cramer Rao lower bound; Monte Carlo simulations; TDOA localization; accuracy analysis; additive white Gaussian noise; sensor networks; static sensor network; time difference of arrival measurements; Accuracy; Additive white noise; Gain measurement; Noise measurement; Signal to noise ratio; Time measurement; TDOA; correlated measurements; parameter dependent Crame´r Rao Lower Bound (CRLB); passive localization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Fusion (FUSION), 2011 Proceedings of the 14th International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4577-0267-9
Type :
conf
Filename :
5977569
Link To Document :
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