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...

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Bibliographic Details

Published in:	Journal of physics. Conference series Vol. 1754; no. 1; pp. 12227 - 12232
Main Authors:	Yu, Yongjin, Liu, Xiaoqing, Xu, Chuannuo, Cheng, Xuezhen
Format:	Journal Article
Language:	English
Published:	Bristol IOP Publishing 01.02.2021
Subjects:	Adaptive algorithms Algorithms Data integration Kalman filters Multisensor fusion Noise reduction Outliers (statistics) Physics Sensors Soil analysis Weighting
ISSN:	1742-6588, 1742-6596
Online Access:	Get full text
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