Salman, N, Khan, MW and Kemp, AH (2014) Enhanced hybrid positioning in wireless networks II: AoA-RSS. 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 , 92 - 97. ISBN 9781479932009
Abstract
In order to achieve higher location estimation accuracy through utilizing all the available information, in this paper we propose a hybrid localization system. We use the angle of arrival (AoA) measurement with the inherent received signal strength (RSS) information to develop an AoA-RSS linear least squares (LLS) location estimator. To accurately predict the performance of the LLS estimator, a closed form expression for the mean square error (MSE) is also 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 11:14 |
Last Modified: | 17 Jan 2018 03:09 |
Published Version: | http://dx.doi.org/10.1109/TEMU.2014.6917742 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/TEMU.2014.6917742 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:84020 |