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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Vydané v:	Journal of physics. Conference series Ročník 1754; číslo 1; s. 12227 - 12232
Hlavní autori:	Yu, Yongjin, Liu, Xiaoqing, Xu, Chuannuo, Cheng, Xuezhen
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Bristol IOP Publishing 01.02.2021
Predmet:	Adaptive algorithms Algorithms Data integration Kalman filters Multisensor fusion Noise reduction Outliers (statistics) Physics Sensors Soil analysis Weighting
ISSN:	1742-6588, 1742-6596
On-line prístup:	Získať plný text
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