2003
DOI: 10.1117/12.467754
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DFT-based spectral moments estimators for spaceborne Doppler precipitation radars

Abstract: In this paper an in-depth analysis on the performance of the Fourier analysis in estimating the first moment of Doppler spectra of rain signals from a spaceborne radar is presented. Spectral moments estimators based on Fourier analysis (DFT-SME) have been widely used by Doppler weather radars in measuring rainfall velocity and they have been found to be almost optimal for narrow normalized spectral widths (w N ). They are also more computationally efficient than the Maximum Likelihood estimators. However, the … Show more

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Cited by 10 publications
(22 citation statements)
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“…For narrow spectra (e.g.,w N < 0.1) and large M (e.g., M>1000), this algorithm provides unbiased estimates of the first spectral moment with the corresponding standard deviations comparable to those obtained by DFT-Z. However, this algorithm is more sensitive to w N than DFT-Z and DFT-ZN 8 .…”
Section: Standard Spectral Moments Estimatorsmentioning
confidence: 78%
“…For narrow spectra (e.g.,w N < 0.1) and large M (e.g., M>1000), this algorithm provides unbiased estimates of the first spectral moment with the corresponding standard deviations comparable to those obtained by DFT-Z. However, this algorithm is more sensitive to w N than DFT-Z and DFT-ZN 8 .…”
Section: Standard Spectral Moments Estimatorsmentioning
confidence: 78%
“…The data processing flow chart is shown in Fig.3(a) [7]. We suppose that the power spectrum of each APR-2 data matches the Gaussian Model.…”
Section: Results and Analysismentioning
confidence: 99%
“…For a Gaussian circular antenna pattern, and only in case of very weak vertical wind shears, Eq. (3) reduces to (Tanelli et al 2002a)…”
Section: Spectral Width and Coherency Time For Spaceborne Doppler Radarsmentioning
confidence: 97%
“…The larger radar beamwidth at 35 GHz is likely to cause larger velocity biases due to Nonuniform Beam Filling (NUBF; Tanelli et al 2002a;Schutgens 2008;, manuscript submitted to J. Atmos. Oceanic Technol.).…”
Section: Introductionmentioning
confidence: 99%