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Source localization by TDOA with random sensor position errors - Part I : static sensors

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Source localization by TDOA with random sensor position errors - Part I : static sensors

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Title: Source localization by TDOA with random sensor position errors - Part I : static sensors
Author: Qu, Xiaomei; Xie, Lihua
Copyright year: 2012
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.
Subject: DRNTU::Engineering::Electrical and electronic engineering.
Type: Conference Paper
Conference name: International Conference on Information Fusion (15th : 2012 : Singapore)
School: School of Electrical and Electronic Engineering
Rights: © 2012 ISIF. This paper was published in 15th International Conference on Information Fusion (FUSION) and is made available as an electronic reprint (preprint) with permission of ISIF. The paper can be found at the following official URL: [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6289785&contentType=Conference+Publications&sortType%3Dasc_p_Sequence%26filter%3DAND(p_IS_Number%3A6289713)]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.
Version: Published version

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