Multi-sensor Data Fusion Based on Biased Estimation Method for Wind Speed Measurement

DOI

10.2991/icmra-15.2015.49How to use a DOI?

Keywords

wind sensor; data fusion; biased estimation; wind speed measurement

Abstract

Multi-sensor data fusion techniques combine data from multiple sensors and related information to achieve more specific inferences compared with using a single, independent sensor. In order to make full use of the information collected by multi-sensor and to increase the accuracy of wind speed, a wind speed measurement method with data fusion based on biased estimation is proposed in this paper. Firstly, different kind of wind speed measurement methods is introduced. Secondly, biased measurement is presented based on ridge estimation, and a quantitative description method evaluating the reliability of the measurement data is proposed. The biased measurement reliability superior to the unbiased one is also verified. Finally, a huge amount of wind speed data illustrates that the presented method is effective.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xingjia Yao
AU  - Yingbo Wang
AU  - Wei Wu
AU  - Liao Jun
PY  - 2015/04
DA  - 2015/04
TI  - Multi-sensor Data Fusion Based on Biased Estimation Method for Wind Speed Measurement
BT  - Proceedings of the 3rd International Conference on Mechatronics, Robotics and Automation
PB  - Atlantis Press
SP  - 246
EP  - 251
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmra-15.2015.49
DO  - 10.2991/icmra-15.2015.49
ID  - Yao2015/04
ER  -