Multi-sensor data fusion algorithm based on the improved weighting factor

Aiming at the decrease of the accuracy of fusion data caused by the abnormal value and noise interference in the multi-sensor observations, this paper proposes a multi-sensor data fusion algorithm based on improved weighting factors. Firstly, the Dixon criterion is used to eliminate outliers in obse...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Journal of physics. Conference series Jg. 1754; H. 1; S. 12227 - 12232
Hauptverfasser:	Yu, Yongjin, Liu, Xiaoqing, Xu, Chuannuo, Cheng, Xuezhen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Bristol IOP Publishing 01.02.2021
Schlagworte:	Adaptive algorithms Algorithms Data integration Kalman filters Multisensor fusion Noise reduction Outliers (statistics) Physics Sensors Soil analysis Weighting
ISSN:	1742-6588, 1742-6596
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!