http://iet.metastore.ingenta.com
1887

Algorithm to eliminate the wind direction ambiguity from the monostatic high-frequency radar backscatter spectra

Algorithm to eliminate the wind direction ambiguity from the monostatic high-frequency radar backscatter spectra

For access to this article, please select a purchase option:

Buy article PDF
$19.95
(plus tax if applicable)
Buy Knowledge Pack
10 articles for $120.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IET Radar, Sonar & Navigation — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

In this study, an algorithm is presented to eliminate the ambiguity of the wind direction from the monostatic radar. The true wind direction can be obtained by comparing three angles that reflect the differences between wind direction and three adjacent radar beams. The correlation coefficient and the root-mean-square (RMS) error between the inversion data and the anemometer data are 0.67 and 49.8°, respectively. When the data whose wind speed is greater than the threshold 4.67 m/s are used, the correlation coefficient and the RMS error are 0.93 and 24.6°. Therefore, the effect of the wind speed threshold on the radar measurements should be put into consideration in the data processing. The results make clear that the algorithm can remove the ambiguity of the wind direction effectively, and authors can utilise the algorithm to estimate the wind direction.

References

    1. 1)
      • 1. Barrick, D.E.: ‘30 years of CMTC and CODAR’. Proc. IEEE/OES/CMTC Ninth Working Conf. on Current Measurement Technology, 2008, pp. 131135.
    2. 2)
    3. 3)
    4. 4)
      • 4. Barrick, D.: ‘Remote sensing of sea state by radar’. OCEANS Conf. – OCEANS, 1972, pp. 186192.
    5. 5)
    6. 6)
    7. 7)
    8. 8)
    9. 9)
    10. 10)
    11. 11)
      • 11. Shen, W.: ‘An algorithm to derive wind speed and direction as well as ocean wave directional spectra from HF radar backscatter measurements based on neural network’. PhD dissertation, University of Hamburg, Germany, 2011.
    12. 12)
    13. 13)
    14. 14)
      • 15. Longuet-Higgins, M.S., Carwright, D.E., Smith, N.D.: ‘Observation of the directional spectrum of sea waves using method of a floating buoy, ocean wave spectra’. Proc. of a Conf., Easton, Maryland, 1963, pp. 111136.
    15. 15)
    16. 16)
    17. 17)
      • 18. Archer, M.: ‘WERA HF radar measurements of wind direction in the South Atlantic Bight’. BSc Ocean Science dissertation, PlymouthUniversity, 2008.
    18. 18)
      • 19. Savidge, D., Amft, J., Gargett, A., et al: ‘Assessment of WERA long-range HF-radar performance from the user's perspective’. CWTM IEEE/OES Tenth, 2011, pp. 3138.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-rsn.2014.0367
Loading

Related content

content/journals/10.1049/iet-rsn.2014.0367
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address