Recognition and supression of wind farm clutter via dynamic clutter map

As a source of clean energy, wind power has attracted great interests around the world. Recent research reveals that wind farms have serious impacts on air traffic control (ATC) radars, which may threaten flight safety in aviation. The most likely impact of wind farm on ATC radars is the echo from the wind farm may appear on the radar displays, which will mislead the air traffic controller and might result in tragedies. Consequently, it attracts much attention on how to suppress the wind farm clutter. For the listed reasons above, a method of wind farm clutter recognition and suppression is proposed in this paper. The proposed method utilized the periodicity of the radar scan and the stability of the wind farm location to create the dynamic clutter map, which was employed to recognize and suppress the wind farm clutter thereafter. Effectiveness of the new method is verified via simulation experiments.