Abstract

Laser radar (Lidar) has been used extensively for remote sensing of wind patterns, turbulence in the atmospheric boundary layer and other important atmospheric transport phenomenon. As in most narrowband radar application, radial velocity of remote objects is encoded in the Doppler shift of the backscattered signal relative to the transmitted signal. In contrast to many applications, however, the backscattered signal in atmospheric Lidar sensing arises from a multitude of moving particles in a spatial cell under examination rather than from a few prominent "target" scattering features. This complicates the process of extracting a single Doppler value and corresponding radial velocity figure to associate with the cell. This paper summarizes the prevalent methods for Doppler estimation in atmospheric Lidar applications and proposes a computationally efficient scheme for improving Doppler estimation by exploiting the local structure of spectral density estimates near spectral peaks.

Original languageEnglish (US)
Article number17015
JournalUnknown Journal
Volume119
DOIs
StatePublished - Jun 7 2016

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Radar
Optical radar
optical radar
remote sensing
Remote sensing
Doppler Effect
radial velocity
Lasers
atmospheric boundary layer
Atmospheric boundary layer
Spectral density
Doppler effect
cells
radar
narrowband
Turbulence
examination
turbulence
Scattering
shift

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Cite this

Approaches for Improved Doppler Estimation in Lidar Remote Sensing of Atmospheric Dynamics. / Bhaskaran, Sreevatsan; Calhoun, Ronald.

In: Unknown Journal, Vol. 119, 17015, 07.06.2016.

Research output: Contribution to journalArticle

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