Matching Pursuit Algorithm of Wind Farm Clutter Mitigation for Weather Radar

As a kind of tall moving obstacle, the wind farm may lead to the detection blind zone of the weather radar and affect the robustness of the weather target parameter estimation algorithm .The mitigation of wind farm clutter is of great significance to improve the weather forecast accuracy of the weather radar and reduce the site selection requirements of the wind farm. In this paper, the traditional matching pursuit algorithm was applied to the wind farm clutter suppression for the weather radar in the scanning mode. At the same time, in view of the low efficiency of the traditional matching pursuit algorithm, the prior information such as the position of radar and wind turbines, was used to estimate the distance and azimuth of the radar and clutter based on the inverse solution of Bessel’s geodetic problem, then the data scanned by the radar will be processed. Therefore, under the condition of ensuring the performance of the algorithm, the computational complexity is effectively reduced to about 3% on the same conditions and the computational efficiency is improved.