Multi-sensor Data Fusion Based on Biased Estimation Method for Wind Speed Measurement
Xingjia Yao, Yingbo Wang, Wei Wu, Liao Jun
Available Online April 2015.
- https://doi.org/10.2991/icmra-15.2015.49How to use a DOI?
- wind sensor; data fusion; biased estimation; wind speed measurement
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 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 - https://doi.org/10.2991/icmra-15.2015.49 ID - Yao2015/04 ER -