Wind speed estimation of low altitude wind shear based on multiple Doppler channels joint adaptive processing
When the airborne weather radar detects low altitude wind shear field, the echoes of wind shear field are usually covered by strong clutter. In this paper, a novel method of wind speed estimation of low altitude wind shear based on multiple Doppler channels joint adaptive processing approach is proposed. The method constructs reduced rank adaptive processors aimed to distributed meteorologic target to achieve clutter suppression and signal matching, and to obtain the wind speed of the wind shear field. The experimental results show the proposed method can achieve clutter suppression and get accurate wind speed estimation with low computational burden.
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)