Khan, MW, Salman, N and Kemp, AH (2014) Enhanced hybrid positioning in wireless networks I: AoA-ToA. In: Proceedings of the 2014 International Conference on Telecommunications and Multimedia, TEMU 2014. 2014 International Conference on Telecommunications and Multimedia, TEMU 2014, 28-30 Jul 2014, Heraklion. IEEE , 86 - 91. ISBN 9781479932009
Abstract
Localization in wireless networks presents enormous challenges for scientists and engineers. Some of the most commonly used techniques for localization are based on time of arrival (ToA), received signal strength (RSS) and angle of arrival (AoA) of the signals. In this paper we analyze and propose improvements to the location accuracy of hybrid (AoA-ToA) localization systems. The location coordinates are obtained using a linear least squares (LLS) algorithm. A closed form expression for the mean square error (MSE) of the LLS estimator is derived. Furthermore, the information present in the covariance of the incoming signals is utilized and a novel weighted linear least squares (WLLS) method is proposed. It is shown via simulation that the theoretical MSE accurately predicts the performance of the LLS estimator. It is also shown via simulation that the WLLS algorithm exhibits better performance than the LLS algorithm.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2014, IEEE. This is an author produced version of a paper published in Proceedings of the 2014 International Conference on Telecommunications and Multimedia, TEMU 2014. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 31 Mar 2015 11:06 |
Last Modified: | 21 Jan 2018 22:47 |
Published Version: | http://dx.doi.org/10.1109/TEMU.2014.6917741 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/TEMU.2014.6917741 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:84019 |