article

Multi-rate distributed fusion estimation for sensor networks with packet losses

Authors:

Li YuAuthors Info & Claims

Automatica (Journal of IFAC), Volume 48, Issue 9

Pages 2016 - 2028

https://doi.org/10.1016/j.automatica.2012.06.027

Published: 01 September 2012 Publication History

Abstract

This paper presents a distributed fusion estimation method for estimating states of a dynamical process observed by wireless sensor networks (WSNs) with random packet losses. It is assumed that the dynamical process is not changing too rapidly, and a multi-rate scheme by which the sensors estimate states at a faster time scale and exchange information with neighbors at a slower time scale is proposed to reduce communication costs. The estimation is performed by taking into account the random packet losses in two stages. At the first stage, every sensor in the WSN collects measurements from its neighbors to generate a local estimate, then local estimates in the neighbors are further collected at the second stage to form a fused estimate to improve estimation performance and reduce disagreements among local estimates at different sensors. Local optimal linear estimators are designed by using the orthogonal projection principle, and the fusion estimators are designed by using a fusion rule weighted by matrices in the linear minimum variance sense. Simulations of a target tracking system are given to show that the time scale of information exchange among sensors can be slower while still maintaining satisfactory estimation performance by using the developed estimation method.

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Deng JLiu SZhang MYe C(2023)Sequential fusion estimation for multisensor multirate systems with measurement outliersAsian Journal of Control10.1002/asjc.318525:6(4909-4919)Online publication date: 16-Nov-2023
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Copyright © Elsevier Ltd © 2012.

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Pergamon Press, Inc.

United States

Publication History

Published: 01 September 2012

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Cited By

Wang YWang ZZou LDong H(2023)On H_∞ Fuzzy Proportional-Integral Observer Design Under Amplify-and-Forward Relays and Multirate MeasurementsIEEE Transactions on Fuzzy Systems10.1109/TFUZZ.2023.333719432:4(1873-1885)Online publication date: 28-Nov-2023
https://dl.acm.org/doi/10.1109/TFUZZ.2023.3337194
Deng JLiu SZhang MYe C(2023)Sequential fusion estimation for multisensor multirate systems with measurement outliersAsian Journal of Control10.1002/asjc.318525:6(4909-4919)Online publication date: 16-Nov-2023
https://dl.acm.org/doi/10.1002/asjc.3185
Zheng XZhang HWang ZZhang CYan H(2022)Finite-Time Dynamic Event-Triggered Distributed $H_\infty$ Filtering for T-S Fuzzy SystemsIEEE Transactions on Fuzzy Systems10.1109/TFUZZ.2021.308656030:7(2476-2486)Online publication date: 1-Jul-2022
https://dl.acm.org/doi/10.1109/TFUZZ.2021.3086560
Tong YZheng ZFan WLiu Z(2022)Improved unscented Kalman filter for state of charge estimation of lithium-ion battery with one-step randomly measurement loss and inaccurate noise covariance matricesDigital Signal Processing10.1016/j.dsp.2022.103780131:COnline publication date: 1-Nov-2022
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Deng MYu XLan W(2021)Distributed Entrapping Control of Multiple Second-order Mobile Agents Under a Directed Network2021 IEEE International Conference on Robotics and Biomimetics (ROBIO)10.1109/ROBIO54168.2021.9739250(1872-1877)Online publication date: 27-Dec-2021
https://dl.acm.org/doi/10.1109/ROBIO54168.2021.9739250
Wang NLi YQi GSheng A(2019)Distributed two‐stage state estimation with event‐triggered strategy for multirate sensor networksInternational Journal of Adaptive Control and Signal Processing10.1002/acs.302833:7(1174-1188)Online publication date: 1-Jul-2019
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Wen SGuo GChen BGao X(2018)Transmission power scheduling and control co-design for wireless sensor networksInformation Sciences: an International Journal10.1016/j.ins.2018.02.039442:C(114-127)Online publication date: 1-May-2018
https://dl.acm.org/doi/10.1016/j.ins.2018.02.039
Chen QWang WYin CJin XZhou J(2017)Distributed cubature information filtering based on weighted average consensusNeurocomputing10.1016/j.neucom.2017.03.004243:C(115-124)Online publication date: 21-Jun-2017
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Sun SLin HMa JLi X(2017)Multi-sensor distributed fusion estimation with applications in networked systemsInformation Fusion10.1016/j.inffus.2017.03.00638:C(122-134)Online publication date: 1-Nov-2017
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Chen YQi GLi YSheng A(2017)Diffusion Kalman filtering with multi-channel decoupled event-triggered strategy and its application to the optic-electric sensor networkInformation Fusion10.1016/j.inffus.2016.12.00436:C(233-242)Online publication date: 1-Jul-2017
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