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contributor authorSrivastava, R. C.
contributor authorJameson, A. R.
contributor authorHildebrand, P. H.
date accessioned2017-06-09T17:39:52Z
date available2017-06-09T17:39:52Z
date copyright1979/02/01
date issued1979
identifier issn0021-8952
identifier otherams-9646.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4233157
description abstractThe mean VT, variance σT2 and signal-to-noise ratio SNRT of Doppler spectra from precipitation in a thunderstorm and from radar signal reflecting chaff have been estimated by an objective thresholding scheme. Using pulse-pair algorithms the mean VP and the variance of the spectra were estimated with and without correction for noise (σ22 and σ12, respectively). A new technique is proposed for estimation of the Doppler variance σ32 using R(τ) and R(2τ), and a similar technique for the signal-to-noise ratio, SNR3, using R(0), R(τ) and R(2τ), where R(X) is the signal autocorrelation at lag X and τ the inter-pulse period of the radar. In the derivation of these functions, a Gaussian-Doppler spectrum was assumed. It has been found that VP agrees closely with VT, and σ22 and σ32 agree closely with σT2 for SNRT?5 dB. The estimators σ22 and σ32 are superior to σ12 for the estimation of Doppler variance. In contrast to σ22, σ32 does not require explicit knowledge of the signal-to-noise ratio. The estimator σ12 is seen to routinely give a poor estimate of Doppler spectral variance for all SNRT values. The estimators SNRT and SNR3 agree closely with each other for SNRT?5 dB.
publisherAmerican Meteorological Society
titleTime-Domain Computation of Mean and Variance of Doppler Spectra
typeJournal Paper
journal volume18
journal issue2
journal titleJournal of Applied Meteorology
identifier doi10.1175/1520-0450(1979)018<0189:TDCOMA>2.0.CO;2
journal fristpage189
journal lastpage194
treeJournal of Applied Meteorology:;1979:;volume( 018 ):;issue: 002
contenttypeFulltext


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