Wind speed estimation for low-altitude windshear based on Space-Time APES

When detecting low-altitude windshear with airborne weather radar, the real signals are usually covered with strong clutter. In this paper, according to the airborne phased array weather radar, a novel method of low-altitude windshear speed estimation based on Space-Time Amplitude and Phase Estimation (APES) is proposed to solve the above problem. The method constructs the space-time adaptive processor with APES theory to obtain clutter suppression and match the windshear signal, then estimates the signal doppler frequency which resulting in the wind speed estimation. The experimental results show that the proposed method can achieve a superior clutter suppression performance and an accurate wind speed estimation in high clutter-to-noise ratio and low signal-to-noise ratio.