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

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 (AK...

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Vydané v:	IET radar, sonar & navigation Ročník 14; číslo 11; s. 1795 - 1802
Hlavní autori:	Fang, Xuming, Chen, Lijun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	The Institution of Engineering and Technology 01.11.2020
Predmet:	adaptive Kalman filters adaptive KF current target tracking algorithms environmental noise existing target tracking algorithm higher estimation accuracy Kalman filters 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 errors Research Article second‐order estimation accuracy target position target tracking third‐order adaptive cubature KF third‐order noise statistic estimator time‐varying tracking filters wireless sensor networks existing target tracking algorithm noise-aware target tracking algorithm wireless sensor networks moving target noise-aware manoeuvring target tracking algorithm noise environments current target tracking algorithms environmental noise higher estimation accuracy tracking filters noise perception target position third-order noise statistic estimator adaptive KF second-order estimation accuracy third-order adaptive cubature KF noise-aware algorithm positioning errors target tracking adaptive Kalman filters numerical analysis time-varying novel adaptive cubature Kalman filter Kalman filters
ISSN:	1751-8784, 1751-8792
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