As a special kind of large buildings, wind farm will affect the accurate detection of the aircraft target by the air traffic control radar. Simultaneously, wind farms are usually composed of many wind turbines distributed in a large area and possess the characteristics of multipath transmission, so they can cause the traffic control radar to misjudge the location and radial speed of the targets. The analysis of the micromotion features of wind farms echoes is of great significance for the identification and detection of the wind farms clutter accurately. Based on the model of wind farm echoes for air traffic control radar, the micromotion feature of wind farm echoes signal is analyzed by using the singular value decomposition technique, and then the micromotion feature of wind farm echoes signal is also extracted by constructing the corresponding characteristic variables. Simultaneously, the micromotion feature of the wind farm echoes is analyzed in the presence of the aircraft target and compared with that of the aircraft target echoes. The simulation results demonstrate the effectiveness of the method proposed in this paper.