DocumentCode :
1531375
Title :
Spectral analysis of atmospheric radar signal using higher order spectral estimation technique
Author :
Anandan, V.K. ; Reddy, G. Ramachandra ; Rao, P.B.
Author_Institution :
Nat. MST Radar Facility, Tirupati, India
Volume :
39
Issue :
9
fYear :
2001
fDate :
9/1/2001 12:00:00 AM
Firstpage :
1890
Lastpage :
1895
Abstract :
Higher order spectral estimation techniques have been applied to the backscattered signals received from the troposphere and lower stratosphere by the Gadanki mesosphere-stratosphere-troposphere (MST) radar. These techniques allow identification of signals that have non-Gaussian probability distribution. To understand these processes and their effect on estimation of the atmospheric parameters, power spectrum, and bispectrum analyses have been performed on the signals received in both vertical and off-vertical directions. The results show that the backscattered echoes received in the vertical direction are significantly non-Gaussian, while those received in the off-vertical direction are inferred to have predominant Gaussian component. It is demonstrated that the bispectral analysis technique has capability for estimating the vertical wind component with greater accuracy than that derived from the commonly employed fast Fourier transform based power spectral technique
Keywords :
atmospheric techniques; geophysical signal processing; meteorological radar; radar theory; remote sensing by radar; stratosphere; wind; Gadanki mesosphere-stratosphere-troposphere radar; MST radar; atmosphere; backscattered echo; bispectral analysis; bispectrum analysis; higher order spectral estimation; measurement technique; meteorological radar; meteorology; non-Gaussian probability distribution; nonGaussian; power spectrum; radar remote sensing; radar signal; spectral analysis; stratosphere; troposphere; vertical component; wind; Fast Fourier transforms; Hoses; Particle scattering; Performance analysis; Probability distribution; Radar scattering; Signal analysis; Signal processing; Spectral analysis; Terrestrial atmosphere;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/36.951079
Filename :
951079
Link To Document :
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