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

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 betw...

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Main Authors: Qu, Xiaomei, Xie, Lihua
Other Authors: School of Electrical and Electronic Engineering
Format: Conference or Workshop Item
Language:English
Published: 2012
Subjects:
Online Access:https://hdl.handle.net/10356/100284
http://hdl.handle.net/10220/8767
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6289785&queryText%3DSource+localization+by+TDOA+with+random+sensor+position+errors+%E2%80%94+part+I+%3A+static+sensors
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1002842019-12-06T20:19:41Z Source localization by TDOA with random sensor position errors - Part I : static sensors Qu, Xiaomei Xie, Lihua School of Electrical and Electronic Engineering International Conference on Information Fusion (15th : 2012 : Singapore) DRNTU::Engineering::Electrical and electronic engineering 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. Published version 2012-10-12T07:32:17Z 2019-12-06T20:19:41Z 2012-10-12T07:32:17Z 2019-12-06T20:19:41Z 2012 2012 Conference Paper Qu, X., & Xie, L. (2012). Source localization by TDOA with random sensor position errors - Part I: static sensors. 15th International Conference on Information Fusion (FUSION), 2012, pp.48-53. https://hdl.handle.net/10356/100284 http://hdl.handle.net/10220/8767 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6289785&queryText%3DSource+localization+by+TDOA+with+random+sensor+position+errors+%E2%80%94+part+I+%3A+static+sensors 165471 en © 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&queryText%3DSource+localization+by+TDOA+with+random+sensor+position+errors+%E2%80%94+part+I+%3A+static+sensors]. 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. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Qu, Xiaomei
Xie, Lihua
Source localization by TDOA with random sensor position errors - Part I : static sensors
description 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.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Qu, Xiaomei
Xie, Lihua
format Conference or Workshop Item
author Qu, Xiaomei
Xie, Lihua
author_sort Qu, Xiaomei
title Source localization by TDOA with random sensor position errors - Part I : static sensors
title_short Source localization by TDOA with random sensor position errors - Part I : static sensors
title_full Source localization by TDOA with random sensor position errors - Part I : static sensors
title_fullStr Source localization by TDOA with random sensor position errors - Part I : static sensors
title_full_unstemmed Source localization by TDOA with random sensor position errors - Part I : static sensors
title_sort source localization by tdoa with random sensor position errors - part i : static sensors
publishDate 2012
url https://hdl.handle.net/10356/100284
http://hdl.handle.net/10220/8767
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6289785&queryText%3DSource+localization+by+TDOA+with+random+sensor+position+errors+%E2%80%94+part+I+%3A+static+sensors
_version_ 1681035995925970944