An Adaptive Filtering Method for Cooperative Localization in Leader–Follower AUVs

In the complex and variable marine environment, the navigation and localization of autonomous underwater vehicles (AUVs) are very important and challenging. When the conventional Kalman filter (KF) is applied to the cooperative localization of leader–follower AUVs, the outliers in the sensor observa...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 22; H. 13; S. 5016
Hauptverfasser:	Zhao, Lin, Dai, Hong-Yi, Lang, Lin, Zhang, Ming
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 02.07.2022 MDPI
Schlagworte:	Accuracy adaptive filter Algorithms Autonomous underwater vehicles Communication Decomposition extended Kalman filter Fuzzy logic Localization measurement anomaly multi-AUV cooperative localization Navigation systems Sensors Velocity
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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