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| Titel |
Stochastic Maximum Likelihood (SML) parametric estimation of overlapped Doppler echoes |
| VerfasserIn |
E. Boyer, M. Petitdidier, P. Larzabal |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
0992-7689
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| Digitales Dokument |
URL |
| Erschienen |
In: Annales Geophysicae ; 22, no. 11 ; Nr. 22, no. 11 (2004-11-29), S.3983-3993 |
| Datensatznummer |
250015065
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| Publikation (Nr.) |
 copernicus.org/angeo-22-3983-2004.pdf |
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| Zusammenfassung |
| This paper investigates the area of overlapped echo data processing. In such
cases, classical methods, such as Fourier-like techniques or pulse pair
methods, fail to estimate the first three spectral moments of the echoes
because of their lack of resolution. A promising method, based on a
modelization of the covariance matrix of the time series and on a Stochastic
Maximum Likelihood (SML) estimation of the parameters of interest, has been
recently introduced in literature. This method has been tested on
simulations and on few spectra from actual data but no exhaustive
investigation of the SML algorithm has been conducted on actual data: this paper
fills this gap. The radar data came from the thunderstorm campaign that
took place at the National Astronomy and Ionospheric Center (NAIC) in
Arecibo, Puerto Rico, in 1998. |
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