NDLI: A multi-sensors weighted data fusion method based on measurement traversal correction

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A multi-sensors weighted data fusion method based on measurement traversal correction

Content Provider	Scilit
Author	Jia, Yang Jun Yuan, Wang Bo Ye, Shi Peng, Li Wei, Zhang Er
Copyright Year	2021
Description	Journal: Journal of Physics: Conference Series In the case of multi-sensors weighted data fusion with unknown prior knowledge, a weighted data fusion method based on measurement traversal correction is proposed. The fusion accuracy of multi-sensors data fusion is influenced by both the measurement data accuracy and the data fusion weights of sensors. The measurement data of sensors is corrected through analyzing the reliability of different time data measured by sensors. The fusion weights of multi-sensors data fusion are optimal through depply analyzing the influence of weight distribution on multi-sensors data fusion accuracy. Typical examples are used to validate the proposed fusion algorithm, and the result shows that the fusion result is satisfying, and the algorithm is theoretical and practical.
Related Links	https://iopscience.iop.org/article/10.1088/1742-6596/1846/1/012081/pdf
ISSN	17426588
e-ISSN	17426596
DOI	10.1088/1742-6596/1846/1/012081
Journal	Journal of Physics: Conference Series
Issue Number	1
Volume Number	1846
Language	English
Publisher	IOP Publishing
Publisher Date	2021-03-01
Access Restriction	Open
Subject Keyword	Journal: Journal of Physics: Conference Series Weighted Data Fusion
Content Type	Text
Resource Type	Article
Subject	Physics and Astronomy

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