Wind speed estimation of low-altitude wind shear based on combined space–time main channel adaptive processing

Abstract

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.

Keywords

• doppler radar
• spectral analysis
• adaptive filters
• wind
• matrix algebra
• radar signal processing
• filtering theory
• airborne radar
• wind speed estimation
• low-altitude wind shear
• combined space–time
• speed estimation method
• measured range unit
• dimension-reduced joint space–time
• optimal weight vector
• dimension-reducing processor
• reduced-dimensional data
• wind field