Journal of Korea Multimedia Society (한국멀티미디어학회논문지)

Korea Multimedia Society (한국멀티미디어학회)
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Adaptive Gaussian Model Based Ground Clutter Mitigation Method for Wind Profiler

  • Lim, Sanghun (Dept. of Land, Water and Environment Research, Korea Institute of Civil Engineering and Building Technology) ;
  • Allabakash, Shaik (Dept. of Land, Water and Environment Research, Korea Institute of Civil Engineering and Building Technology) ;
  • Jang, Bong-Joo (Dept. of Land, Water and Environment Research, Korea Institute of Civil Engineering and Building Technology)
  • Received : 2019.12.04
  • Accepted : 2019.12.10
  • Published : 2019.12.31
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Abstract

The radar wind profiler data contaminates with various non-atmospheric components that produce errors in moments and wind velocity estimations. This study implemented an adaptive Gaussian model to detect and remove the clutter from the radar return. This model includes DC filtering, ground clutter recognition, Gaussian fitting, and cost function to mitigate the clutter component. The adaptive model tested for the various types of clutter components and found that it is effective in clutter removal process. It is also applied for the both time series and spectrum datasets. The moments estimated using this method are compared with those derived using conventional DC-filtering clutter removal method. The comparisons show that the proposed method effectively removes the clutter and produce reliable moments.

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References

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