Wind Turbine Clutter Micro-motion Feature Extraction Method

Wind farms located near radar installations can interfere with radar equipment. By using the micro-Doppler effect generated by the rotation of the wind turbine blade, the micro- motion characteristics of the wind turbine can be extracted, which provides a basis for the WTC suppression. In this paper, a wind turbine micro-motion feature extraction method is proposed based on the cyclic autocorrelation function and phase information of the echo. Firstly, the wind turbine clutter model is established. Then, based on the periodicity of the echo, the relationship between the peak value of the cyclic autocorrelation function and the rotation frequency is used to extract the blade rotation frequency. The length and initial phase information of the wind turbine blade is estimated from the unwrapped phase information. Simulation results demonstrate the effectiveness of the proposed method. In addition, the method has a certain anti-noise performance.