基于EMBET的测量数据融合方法

2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2021-04-23 DOI:10.1109/ICCCS52626.2021.9449219

Kechang Qian, Ying Wan, Youchen Fan, Dapeng Xiong

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引用次数: 0

摘要

利用数据融合算法对得到的多变量测量数据进行融合处理是提高测量精度的常用方法。本文设计了一种基于EMBET原理的多变量测量数据融合方法，避免了传统EMBET方法对测量设备误差模型的限制，有效提高了多变量测量数据融合的精度。实测数据验证了该方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Method of Measuring Data Fusion Based on EMBET

The use of data fusion algorithms for fusion processing of the obtained multivariate measurement data is a common method to improve measurement accuracy. This paper designs a multivariate measurement data fusion method based on the principle of EMBET, which avoids the limitation of the conventional EMBET method for measuring equipment error models and effectively improves the accuracy of multivariate measurement data fusion. The effectiveness of this method is verified by measured data.

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2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)

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