Clutter-Contaminated Signal Recovery in Spectral Domain for Polarimetric Weather Radar

Jiapeng Yin, Marc Schleiss, Xuesong Wang

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The use of spectral polarimetric filters in the range-Doppler domain shows great promise for clutter mitigation in weather radar applications. One limitation of these filters is that they cannot deal with situations in which ground clutter and precipitation overlap. In this letter, we propose a new signal recovery technique based on kriging in the spectral domain to recover the precipitation in clutter-contaminated areas. Using synthetic radar data, we test our new method and compare its performance to that of Gaussian model adaptive processing and bilinear interpolation. Our results indicate that kriging is the most accurate and robust technique out of the three.

Original languageEnglish
Number of pages5
JournalIEEE Geoscience and Remote Sensing Letters
Publication statusPublished - 2021


  • Clutter
  • Clutter-contaminated
  • Doppler effect
  • ground clutter (GC)
  • kriging
  • Meteorological radar
  • Radar
  • Radar clutter
  • Radar polarimetry
  • signal recovery
  • spectral-polarimetry
  • Spectrogram
  • weather radar.

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