NDLI: Noise-aware manoeuvring target tracking algorithm in wireless sensor networks by a novel adaptive cubature Kalman filter

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Noise-aware manoeuvring target tracking algorithm in wireless sensor networks by a novel adaptive cubature Kalman filter

Content Provider	IET Digital Library
Author	Fang, Xuming Chen, Lijun
Abstract	Current target tracking algorithms for wireless sensor networks in noise environments have large positioning errors. Owing to the environmental noise, Kalman filters (KFs) are used to estimate the target position. To reduce the adverse effect of unknown or time-varying noise on KFs, adaptive KFs (AKFs) are developed. However, the present AKFs can only achieve second-order estimation accuracy. To improve the existing target tracking algorithm's positioning accuracy under unknown and time-varying noise environments, the authors propose a noise-aware algorithm based on a novel third-order adaptive cubature KF (ACKF) with higher estimation accuracy, which improves the accuracy of the existing algorithm by up to 63%. The innovative ACKF contains a new third-order noise statistic estimator and a traditional cubature KF without noise perception. A large number of numerical simulations and practical experiments show that the proposed noise-aware target tracking algorithm based on the novel ACKF is always more accurate than the target tracking algorithms based on the current KFs, no matter whether the moving target is manoeuvring or not, whether the strength of the noise is small or large, whether the number of anchor nodes is many or few, and whether the noise is time-varying or constant.
Starting Page	1795
Ending Page	1802
Page Count	8
ISSN	17518784
Volume Number	14
e-ISSN	17518792
Issue Number	Issue 11, Nov (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/14/11
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2020.0165
Journal	IET Radar, Sonar & Navigation
Publisher Date	2020-08-07
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Kalman Filter Adaptive KF Current Target Tracking Algorithm Environmental Noise Existing Target Tracking Algorithm Filtering Method in Signal Processing Higher Estimation Accuracy Kalman Filter Moving Target Noise Environments Noise Perception Noise-aware Algorithm Noise-aware Manoeuvring Target Tracking Algorithm Noise-aware Target Tracking Algorithm Novel Adaptive Cubature Kalman Filter Numerical Analysis Positioning Error Second-order Estimation Accuracy Target Position Target Tracking Third-order Adaptive Cubature KF Third-order Noise Statistic Estimator Time-varying Tracking Filter Wireless Sensor Network
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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