research-article

Least squares algorithms for time-of-arrival-based mobile location

Authors:

K.W. Cheung,

H.C. So,

W.-K. Ma,

Y.T. ChanAuthors Info & Claims

IEEE Transactions on Signal Processing, Volume 52, Issue 4

Pages 1121 - 1130

https://doi.org/10.1109/TSP.2004.823465

Published: 01 April 2004 Publication History

Abstract

Localization of mobile phones is of considerable interest in wireless communications. In this correspondence, two algorithms are developed for accurate mobile location using the time-of-arrival measurements of the signal from the mobile station received at three or more base stations. The first algorithm is an unconstrained least squares (LS) estimator that has implementation simplicity. The second algorithm solves a nonconvex constrained weighted least squares (CWLS) problem for improving estimation accuracy. It is shown that the CWLS estimator yields better performance than the LS method and achieves both the Crame´r-Rao lower bound and the optimal circular error probability at sufficiently high signal-to-noise ratio conditions.

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Pun YSo A(2024)Global strong convexity and characterization of critical points of time-of-arrival-based source localizationComputational Geometry: Theory and Applications10.1016/j.comgeo.2023.102077119:COnline publication date: 1-Apr-2024
https://dl.acm.org/doi/10.1016/j.comgeo.2023.102077
Ho KLe T(2023)Integrating AOA With TDOA for Joint Source and Sensor LocalizationIEEE Transactions on Signal Processing10.1109/TSP.2023.328041771(2087-2102)Online publication date: 1-Jan-2023
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Qu XLiu TLi FTan W(2023)Cooperative Localization With the Fusion of GNSS and Relative Range Information in Vehicular Ad-Hoc NetworksIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2023.328720924:11(11864-11877)Online publication date: 1-Nov-2023
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Least squares algorithms for time-of-arrival-based mobile location

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cover image IEEE Transactions on Signal Processing

IEEE Transactions on Signal Processing Volume 52, Issue 4

April 2004

304 pages

ISSN:1053-587X

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IEEE Press

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Published: 01 April 2004

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Pun YSo A(2024)Global strong convexity and characterization of critical points of time-of-arrival-based source localizationComputational Geometry: Theory and Applications10.1016/j.comgeo.2023.102077119:COnline publication date: 1-Apr-2024
https://dl.acm.org/doi/10.1016/j.comgeo.2023.102077
Ho KLe T(2023)Integrating AOA With TDOA for Joint Source and Sensor LocalizationIEEE Transactions on Signal Processing10.1109/TSP.2023.328041771(2087-2102)Online publication date: 1-Jan-2023
https://dl.acm.org/doi/10.1109/TSP.2023.3280417
Qu XLiu TLi FTan W(2023)Cooperative Localization With the Fusion of GNSS and Relative Range Information in Vehicular Ad-Hoc NetworksIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2023.328720924:11(11864-11877)Online publication date: 1-Nov-2023
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Haq MKhalil RAlmutiry MSawalmeh AAhmad TSaeed N(2023)Robust graph‐based localization for industrial Internet of things in the presence of flipping ambiguitiesCAAI Transactions on Intelligence Technology10.1049/cit2.122038:4(1140-1149)Online publication date: 1-Mar-2023
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Ayub MChen JZaman A(2023)Disambiguation of measurements for multiple acoustic source localization using deep multi-dimensional assignmentsDigital Signal Processing10.1016/j.dsp.2023.103980136:COnline publication date: 1-May-2023
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Sun YHo KYang YZhang LChen L(2022)Computationally attractive and statistically efficient estimator for noise resilient TOA localizationSignal Processing10.1016/j.sigpro.2022.108663200:COnline publication date: 1-Nov-2022
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Djosic SStojanovic IJovanovic MDjordjevic G(2022)Multi-algorithm UWB-based localization method for mixed LOS/NLOS environmentsComputer Communications10.1016/j.comcom.2021.10.031181:C(365-373)Online publication date: 1-Jan-2022
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Kwon K(2022)Uniqueness and nonuniqueness for the L 1 minimization source localization problem with three measurementsApplied Mathematics and Computation10.1016/j.amc.2021.126649413:COnline publication date: 15-Jan-2022
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Munir YAftab MShehzad DAseere AShah H(2021)Effective Passive Multitarget Localization Using Maximum LikelihoodWireless Communications & Mobile Computing10.1155/2021/65673462021Online publication date: 1-Jan-2021
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Huang ZShiigi TTsay LNakanishi HSuzuki TOgawa YNaoshi K(2021)A sound-based positioning system with centimeter accuracy for mobile robots in a greenhouse using frequency shift compensationComputers and Electronics in Agriculture10.1016/j.compag.2021.106235187:COnline publication date: 1-Aug-2021
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