Velocity Biases of Adaptive Filter Estimates in Heterodyne Doppler Lidar Measurements.

Saved in:
Bibliographic Details
Title: Velocity Biases of Adaptive Filter Estimates in Heterodyne Doppler Lidar Measurements.
Authors: Dabas, Alain M., Drobinski, Philippe, Flamant, Pierre H.
Source: Journal of Atmospheric & Oceanic Technology. Sep2000, Vol. 17 Issue 9, p1189. 14p.
Subjects: Adaptive filters, Heterodyne reception, Frequency spectra
Abstract: Frequency estimates by heterodyne Doppler lidar (HDL) may result in velocity bias due to the atmospheric speckle effect and an asymmetrical power spectrum of the probing pulse, as discussed in a previous paper by Dabas et al. In this paper, it has been shown that the velocity bias can be accounted for and corrected on a single measurement basis for a mean frequency estimator (e.g., pulse pair). In the present paper, a new procedure is proposed and validated for adaptive filters (e.g., Levin, notch, etc.), which accounts for nonstationary conditions such as wind turbulence, wind shear, and backscattered power gradient. The present study is conducted using both numerical simulations and actual data taken by a 10- mm HDL. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Atmospheric & Oceanic Technology is the property of American Meteorological Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Description
Abstract:Frequency estimates by heterodyne Doppler lidar (HDL) may result in velocity bias due to the atmospheric speckle effect and an asymmetrical power spectrum of the probing pulse, as discussed in a previous paper by Dabas et al. In this paper, it has been shown that the velocity bias can be accounted for and corrected on a single measurement basis for a mean frequency estimator (e.g., pulse pair). In the present paper, a new procedure is proposed and validated for adaptive filters (e.g., Levin, notch, etc.), which accounts for nonstationary conditions such as wind turbulence, wind shear, and backscattered power gradient. The present study is conducted using both numerical simulations and actual data taken by a 10- mm HDL. [ABSTRACT FROM AUTHOR]
ISSN:07390572
DOI:10.1175/1520-0426(2000)017<1189:VBOAFE>2.0.CO;2