Adaptive parametric algorithms for processing coherent Doppler-lidar signal

Author

Zarader, Jean-Luc ; Dabas, Alain ; Flamant, Pierre H. ; Gas, Bruno ; Adam, Olivier

Author_Institution

Lab. des instruments et Syst., Paris VI Univ., France

Volume

37

Issue

6

fYear

1999

fDate

11/1/1999 12:00:00 AM

Firstpage

2678

Lastpage

2691

Abstract

The authors study the autoregressive and moving average (ARMA) filter for lidar signal processing. After a short presentation of the atmospheric laser Doppler instrument project (ALADIN), they introduce the objective of this paper, which is to extract the Doppler frequency and to retrieve the spectral width of a noised lidar signal. A general presentation of ARMA filters and parametric adaptive algorithms (PAAs) is provided. Then they present results about the choice of the model, the Doppler frequency estimate, and the spectral width estimate. Finally, they study the possible estimate of SNR, which is biased by the first estimates (Doppler frequency and spectral width)

Keywords

adaptive filters; adaptive signal processing; atmospheric techniques; autoregressive moving average processes; geophysical signal processing; optical radar; remote sensing by laser beam; wind; ALADIN; ARMA; Doppler frequency; Doppler frequency estimate; adaptive parametric algorithm; adaptive signal processing; atmosphere; atmospheric laser Doppler instrument project; autoregressive and moving average; coherent Doppler-lidar; filter; laser remote sensing; lidar; lidar signal; measurement technique; meteorology; noised lidar signal; parametric adaptive algorithm; spectral width; wind; Adaptive signal processing; Atmosphere; Frequency estimation; Instruments; Laser noise; Laser radar; Signal processing; Signal processing algorithms; Space technology; Wind;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing, IEEE Transactions on

Publisher

ieee

ISSN

0196-2892

Type

jour

DOI

10.1109/36.803415

Filename

803415