Source localization using TDOA measurements with sensor location uncertainty

Author

Weng Yang

Author_Institution

Sch. of Math., Sichuan Univ., Chengdu, China

fYear

2011

fDate

22-24 July 2011

Firstpage

5068

Lastpage

5072

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);

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (CCC), 2011 30th Chinese

Conference_Location

Yantai

ISSN

1934-1768

Print_ISBN

978-1-4577-0677-6

Electronic_ISBN

1934-1768

Type

conf

Filename

6001536