For Full-Text PDF, please login, if you are a member of IEICE,|
or go to Pay Per View on menu list, if you are a nonmember of IEICE.
Parametric Wind Velocity Vector Estimation Method for Single Doppler LIDAR Model
Takayuki MASUO Fang SHANG Shouhei KIDERA Tetsuo KIRIMOTO Hiroshi SAKAMAKI Nobuhiro SUZUKI
IEICE TRANSACTIONS on Communications
Publication Date: 2017/03/01
Online ISSN: 1745-1345
Type of Manuscript: PAPER
Light Detection and Ranging (lidar), single lidar model, local air turbulence estimation,
Full Text: PDF(5.5MB)>>
Doppler lidar (LIght Detection And Ranging) can provide accurate wind velocity vector estimates by processing the time delay and Doppler spectrum of received signals. This system is essential for real-time wind monitoring to assist aircraft taking off and landing. Considering the difficulty of calibration and cost, a single Doppler lidar model is more attractive and practical than a multiple lidar model. In general, it is impossible to estimate two or three dimensional wind vectors from a single lidar model without any prior information, because lidar directly observes only a 1-dimensional (radial direction) velocity component of wind. Although the conventional VAD (Velocity Azimuth Display) and VVP (Velocity Volume Processing) methods have been developed for single lidar model, both of them are inaccurate in the presence of local air turbulence. This paper proposes an accurate wind velocity estimation method based on a parametric approach using typical turbulence models such as tornado, micro-burst and gust front. The results from numerical simulation demonstrate that the proposed method remarkably enhances the accuracy for wind velocity estimation in the assumed modeled turbulence cases, compared with that obtained by the VAD or other conventional method.