Kiring, A., Salman, N., Liu, C. et al. (2 more authors) (2017) Tracking with Sparse and Correlated Measurements via a Shrinkage-based Particle Filter. IEEE Sensors Journal, 17 (10). pp. 3152-3164. ISSN 1530-437X
Abstract
This paper presents a shrinkage-based particle filter method for tracking a mobile user in wireless networks. The proposed method estimates the shadowing noise covariance matrix using the shrinkage technique. The particle filter is designed with the estimated covariance matrix to improve the tracking performance. The shrinkage-based particle filter can be applied in a number of applications for navigation, tracking and localization when the available sensor measurements are correlated and sparse. The performance of the shrinkage-based particle filter is compared with the posterior Cramer-Rao lower bound, which is also derived in the paper. The advantages of the proposed shrinkage-based particle filter approach are demonstrated via simulation and experimental results.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 IEEE. This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0/. |
Keywords: | Wireless sensor networks; tracking problems; received signal strength measurements; particle filter; covariance matrix; shrinkage estimation |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Funding Information: | Funder Grant number ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC) EP/K021516/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 24 Mar 2017 15:28 |
Last Modified: | 28 Jul 2023 15:48 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers |
Refereed: | Yes |
Identification Number: | 10.1109/JSEN.2017.2685684 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:113876 |