A new method to predict the wind direction from HF radar Doppler spectrum

Mao Yuan; Guo Li-Xin; Din Hui-Fen; Liu Wei

doi:10.7498/aps.61.044201

Abstract

According to the relationship between the first-order Doppler of HF radar and the wind direction over the sea surface, a new method of predicting wind direction is proposed with considering the combination of neural network and the method of the beam sampling. Using the simulated data under different input and output parameters of neural network, the wind direction is predicted when the expansion factor is odd number, the combination of the neural network and the beam sampling is utilized to predict the wind direction when the expansion factor is even number, which can eliminate the fuzziness of the wind direction. The predicted result shows a good agreement with the simulated data. From the predicted results by the neural network and the beam sampling, it is find that the error of the wind direction is about 4-6 and the mean error of the expansion factor of the wind direction is 0.26, which provides a new idea and method of predicting the wind field over the sea surface.

Keywords:

Authors and contacts

1.
School of Science, Xidian University, Xi’an 710071, China
Funds: Project supported by the National Natural Science Foundation of China (Grant No.60971067), the Specialized Research Fund for the Doctoral Program of Higher Education (Grant No. 20100203110016), and the Fundamental Research Funds for the Central Universities.

References

[1]	Zhang L, Huang S X, Liu Y D, Zhong J 2010 Acta Phys. Sin. 59 2889 (in Chinese) [张亮, 黄思训, 刘宇迪, 钟剑 2010 59 2889]
[2]	Wang Y H, Zhang Y M, Guo L X 2010 Chin. Phys. B 19 281
[3]	Zhang Y M, Wang Y H, Zhang C F 2010 Chin. Phys. B 19 411
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[5]	Barrick D E 1977 Radio Sci. 12 415
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Cited By

[1]	Zhang L, Huang S X, Liu Y D, Zhong J 2010 Acta Phys. Sin. 59 2889 (in Chinese) [张亮, 黄思训, 刘宇迪, 钟剑 2010 59 2889]
[2]	Wang Y H, Zhang Y M, Guo L X 2010 Chin. Phys. B 19 281
[3]	Zhang Y M, Wang Y H, Zhang C F 2010 Chin. Phys. B 19 411
[4]	Stewart R H, Barnum J R 1975 Radio Sci. 10 853
[5]	Barrick D E 1977 Radio Sci. 12 415
[6]	Long A E, Trizna D B 1973 IEEE Trans. Antennas Propag. 5 680
[7]	Heron M L, Rose R J 1986 IEEE J. Oceanic Eng. 2 210
[8]	Huang W M 2001 J. Wuhan Univ.(Nat. Sci. Ed) 10 645 [黄为民 2001 武汉大学学报(理学版) 10 645]
[9]	Barrick D E 1972 IEEE Trans. Antennas Propag. 20 2
[10]	Lipa B J, Barrick D E 1986 Radio Sci. 21 81
[11]	Tyler G L, Teague C C, Stewart R H, Peterson A M, Munk W H, Joy W J 1974 Deep Sea Res. 12 989
[12]	Ge Z X, Sun Z Q 2007 Neural Network Theory and MATLAB R2007 Implementation (Beijing: Electronic Industry Press) p100 (in Chinese) [葛哲学, 孙志强 2007 神经网络理论与MATLAB R2007实现 (北京: 电子工业出版社) 第100页]

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Catalog

Vol. 61, Issue 4 - 2012-02-20

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