DocumentCode :
567431
Title :
Source localization by TDOA with random sensor position errors — Part I: Static sensors
Author :
Qu, Xiaomei ; Xie, Lihua
Author_Institution :
Center for E-City, Nanyang Technol. Univ., Singapore, Singapore
fYear :
2012
fDate :
9-12 July 2012
Firstpage :
48
Lastpage :
53
Abstract :
This paper presents a study on source localization using time difference of arrival (TDOA) measurements from static sensors in the presence of random errors in sensor positions. We develop a constrained weighted least squares (CWLS) source localization method which incorporates the relationship between the source position and an auxiliary variable as a constraint. The CWLS source localization is formulated as an indefinite quadratically constrained quadratic optimization problem, which is a nonconvex problem. By employing the hidden convexity of the original optimization problem, the global optimal source location estimate can be efficiently obtained. Simulations are used to corroborate the good performance of the proposed method.
Keywords :
concave programming; direction-of-arrival estimation; least squares approximations; quadratic programming; sensor fusion; time-of-arrival estimation; CWLS source localization method; TDOA; constrained weighted least square source localization method; global optimal source location estimate; indefinite quadratically constrained quadratic optimization problem; nonconvex problem; random sensor position errors; static sensors; time difference of arrival measurements; Accuracy; Equations; Measurement uncertainty; Noise; Noise measurement; Optimization; Position measurement; Source localization; constrained weighted least-squares; nonconvex problem; time difference of arrival; weighted least-squares;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Fusion (FUSION), 2012 15th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4673-0417-7
Electronic_ISBN :
978-0-9824438-4-2
Type :
conf
Filename :
6289785
Link To Document :
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