Parametric Estimation of Doppler Spectral Moments: An Alternative Ground Clutter Rejection Technique

The theory of parametric techniques for the recovery of Doppler spectral moments from ground-clutter-contaminated measurements of the radar autocorrelation function is presented. Seven algorithms for the mean velocity are given as examples, and evaluated using simulated Gaussian weather and measured...

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Bibliographic Details
Published in:Journal of climate and applied meteorology 1983-05, Vol.22 (5), p.850-857
Main Author: Passarelli, Richard E.
Format: Article
Language:English
Subjects:
Algorithms
Autocorrelation
Estimators
Estimators for the mean
Meteorological radar
Meteorology
Meteors
Quadrants
Radial velocity
Weather
Online Access:Get full text
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Summary:The theory of parametric techniques for the recovery of Doppler spectral moments from ground-clutter-contaminated measurements of the radar autocorrelation function is presented. Seven algorithms for the mean velocity are given as examples, and evaluated using simulated Gaussian weather and measured ground clutter signals. Some algorithms can provide accurate estimates of the mean velocity at clutter-to-signal power ratios of > 10 dB and one performs well at 20 dB. An example in actual precipitation is also presented.
ISSN:0733-3021
2163-5366
DOI:10.1175/1520-0450(1983)022<0850:PEODSM>2.0.CO;2