[MIS19-P01] Doppler Spectrum Estimation based on MMSE
Keywords:Phased Array Weather Radar, ground clutter, Doppler Spectrum
We propose an Doppler spectrum estimation method via minimum mean square error (MMSE) to obtain the practically useful precipitation signals at a low elevation by suppressing clutter sidelobes. non-zero components of precipitation becomes detectable by reducing sidelobes due to around-zero components of ground clutter. A significant feature of this research is that the proposed method can be applied instead of the Fourier method which is the most conventional method to estimate Doppler spectrum. Therefore, any existing ground clutter filtering methods can be applied to a sidelobe-less Doppler spectrum calculated by the proposed method. In the sidelobe-less Doppler spectrum, ground clutter appears sharper than one by the Fourier method, and is easier to be eliminated by any existing filtering methods. To verify the effectiveness of the MMSE method, we applied it to the real measurement data with the PAWR. In comparison to Fast Fourier Transform (FFT) method, which is a conventional method, The MMSE method eliminated the ground clutter echoes existing at a low elevation angles more effectively.
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