Enhanced autoregressive moving average spectral estimation applied to the measurement of Doppler spectral width

Author

Palmer, Robert D. ; Cruz, J.R. ; Zrnic´, D.S.

Author_Institution

Dept. of Phys. & Astron., Clemson Univ., SC, USA

Volume

29

Issue

3

fYear

1991

fDate

5/1/1991 12:00:00 AM

Firstpage

358

Lastpage

368

Abstract

The measurement of clear-air turbulence with a Doppler radar is investigated. An autoregressive moving average (ARMA) model is proposed to improve the Doppler spectral width estimates. An iterative algorithm that has its origin in system identification is used for the estimation of the ARMA parameters. By taking advantage of a priori knowledge of the correlation matrix, which arises in the derivation of the governing equations of the ARMA parameters, the ARMA spectral estimate can be improved. This improvement is shown in terms of bias and variance of the spectral width estimate

Keywords

Doppler effect; atmospheric techniques; atmospheric turbulence; parameter estimation; remote sensing by radar; spectral analysis; ARMA model; Doppler spectral width; autoregressive moving average spectral estimation; clear-air turbulence; correlation matrix; iterative algorithm; measurement; priori; radar; remote sensing; technique; Atmosphere; Autoregressive processes; Doppler radar; Equations; Laboratories; Meteorological radar; Meteorology; Modems; Pollution measurement; Refractive index;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing, IEEE Transactions on

Publisher

ieee

ISSN

0196-2892

Type

jour

DOI

10.1109/36.79426

Filename

79426