| Issue |
EPJ Web of Conferences
Volume 119, 2016
The 27th International Laser Radar Conference (ILRC 27)
|
|
|---|---|---|
| Article Number | 17015 | |
| Number of page(s) | 3 | |
| Section | Poster Session (Advances in Lidar Technologies and Techniques II) | |
| DOI | https://doi.org/10.1051/epjconf/201611917015 | |
| Published online | 07 June 2016 | |
https://doi.org/10.1051/epjconf/201611917015
Approaches for Improved Doppler Estimation in Lidar Remote Sensing of Atmospheric Dynamics
Environmental Remote Sensing Group, Arizona State University, AZ 85281, USA
* Email: sbhaska4@asu.edu
Published online: 7 June 2016
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.
© Owned by the authors, published by EDP Sciences, 2016
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