DocumentCode :
2185437
Title :
Three-dimensional wind profile prediction with trinion-valued adaptive algorithms
Author :
Gou, Xiaoming ; Liu, Zhiwen ; Liu, Wei ; Xu, Yougen
Author_Institution :
School of Information and Electronics, Beijing Institute of Technology, 100081, China
fYear :
2015
fDate :
21-24 July 2015
Firstpage :
566
Lastpage :
569
Abstract :
The problem of three-dimensional (3-D) wind profile prediction is addressed based a trinion wind model, which inherently reckons the coupling of the three perpendicular components of a wind field. The augmented trinion statistics are developed and employed to enhance the prediction performance due to its full exploitation of the second-order statistics. The proposed trinion domain processing can be regarded as a more compact version of the existing quaternion-valued approach, with a lower computational complexity. Simulations based on recorded wind data are provided to demonstrate the effectiveness of the proposed methods.
Keywords :
Adaptation models; Arrays; Prediction algorithms; Quaternions; Signal processing; Solid modeling; Wind forecasting; adaptive filtering; least mean squares; trinion-valued representation; widely linear processing; wind profile prediction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Signal Processing (DSP), 2015 IEEE International Conference on
Conference_Location :
Singapore, Singapore
Type :
conf
DOI :
10.1109/ICDSP.2015.7251937
Filename :
7251937
Link To Document :
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