Open AccessWind speed estimation of low‐altitude wind shear based on combined space–time main channel adaptive processing
Author(s) -
Li Hai,
Wang Jie,
Guo Qing H.,
Li Yi J.
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0662
Subject(s) - dimension (graph theory) , wind speed , computer science , channel (broadcasting) , wind shear , radar , filter (signal processing) , acoustics , altitude (triangle) , adaptive filter , control theory (sociology) , algorithm , mathematics , physics , meteorology , telecommunications , artificial intelligence , computer vision , geometry , control (management) , pure mathematics
This study presents a low‐altitude wind shear speed estimation method based on combined space–time main channel adaptive processing. The method first reduces the dimension of the radar echo data of the measured range unit by constructing a dimension‐reduced joint space–time transform matrix, and then constructs the optimal weight vector of the dimension‐reducing processor to adaptively filter the reduced‐dimensional data. Furthermore, accurate estimation of the speed of the wind field is achieved in the presence of the amplitude–phase error. Simulation results demonstrate the effectiveness of the proposed method.