Noise‐aware manoeuvring target tracking algorithm in wireless sensor networks by a novel adaptive cubature Kalman filter. Issue 11 (18th September 2020)

• Record Type: Journal Article
• Authors: Fang, Xuming; Chen, Lijun
• Is Part Of: IET radar, sonar & navigation. Volume 14:Issue 11(2020)
• Page Start: 1795
• Page End: 1802
• Publication Date: 2020-09-18
• Subjects: wireless sensor networks -- target tracking -- adaptive Kalman filters -- tracking filters -- numerical analysis; third‐order noise statistic estimator -- noise perception -- noise‐aware target tracking algorithm -- moving target -- time‐varying -- noise‐aware manoeuvring target tracking algorithm -- wireless sensor networks -- novel adaptive cubature Kalman filter -- current target tracking algorithms -- noise environments -- positioning errors -- environmental noise -- Kalman filters -- target position -- adaptive KF -- second‐order estimation accuracy -- existing target tracking algorithm -- noise‐aware algorithm -- third‐order adaptive cubature KF -- higher estimation accuracy -- adaptive KF; Signal processing -- Periodicals; Radar -- Periodicals; Sonar -- Periodicals; Electronics in navigation -- Periodicals; Navigation -- Periodicals; 621.3848
• DOI: 10.1049/iet-rsn.2020.0165
• Languages: English
• ISSNs: 1751-8784

Abstract

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.