DocumentCode :
1266993
Title :
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
Link To Document :
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