Abstract: Aiming at the problem that the airborne radar has the amplitude and phase error, the clutter suppression performance is degraded and the low-altitude wind-shear wind speed estimation result is not accurate.This paper proposes a method based on combined space-time main channel joint domain localized space-time adaptive processing for low-altitude wind-shear wind speed estimation. The method firstly performs distance dependence correction and clutter covariance matrix estimation on radar echo data; then, the spatial main beam and the time domain main channel are deep weighted, Forming the airspace main beam and the time domain main channel, At the same time, multiple local processing areas are added to participate in joint processing to construct a dimensionality reduction adaptive processor. Finally, the adaptive weight vector is used to adaptively filter the echo data, and the wind field velocity is accurately estimated under the amplitude and phase error.The simulation results show that the method can accurately estimate the low wind wind shear wind speed,in the presence of amplitude and phase error.