Khan, MW, Salman, N, Ali, A et al. (2 more authors) (2015) A comparative study of target tracking with Kalman filter, extended Kalman filter and particle filter using received signal strength measurements. In: Proceedings of the International Conference on Emerging Technologies (ICET) 2015. International Conference on Emerging Technologies (ICET) 2015, 19-20 Dec 2015, Peshawar, Pakistan. IEEE ISBN 978-1-5090-0436-2
Abstract
Tracking of wireless nodes such as robots in wireless sensor network (WSN) has been widely studied in literature. Most of these studies are based on the Kalman filter (KF) for linear models corrupted by Gaussian noise, the extended Kalman filter (EKF) for non linear models and the particles filter (PF) which does no require the model o be linear nor the noise be Gaussian. In his paper, we present a comparative study of mobile target node (TN) racking via the KF, EKF and PF based on the received power of the signal. A constant velocity model is considered for the motion of TN, depicting an indoor environment. The performance of the filters are compared in terms of the root mean square error (RMSE). Extensive simulations are performed to evaluate the performance of the discussed filters.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Keywords: | particle filter; Kalman filter; extended Kalman filter; Electronic mail; Yttrium; Wireless sensor networks |
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: | 03 Nov 2016 11:57 |
Last Modified: | 28 Feb 2024 14:12 |
Published Version: | https://doi.org/10.1109/ICET.2015.7389222 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/icet.2015.7389222 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:104566 |