Title :
Source localization using TDOA measurements with sensor location uncertainty
Author_Institution :
Sch. of Math., Sichuan Univ., Chengdu, China
Abstract :
In this paper, the TDOA model for source localization in WSNs is considered. The total least-squares (TLS) algorithm is developed for location estimation of a stationary source with sensor location uncertainty. The uncertainty of the sensor location is formulated as a perturbation on the given sensor location. TLS is a least squares data modeling technique in which observational errors on both dependent and independent variables are taken into account. The sensitivity of the TLS solution is also analyzed. Simulation results show the good performance of the proposed algorithms.
Keywords :
least squares approximations; time-of-arrival estimation; wireless sensor networks; TDOA measurements; TLS algorithm; WSNs; least squares data modeling technique; sensor location uncertainty; source localization; stationary source location estimation; total least-squares algorithm; wireless sensor network; Artificial neural networks; Measurement uncertainty; Wireless sensor networks; Perturbation; Source Localization; Time difference of arrival (TDOA); Total Least-Squares; Wireless Sensor Network (WSN);
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768
