HE Wei-Kun, GUO Shuang-Shuang, WANG Xiao-Liang, WU Ren-Biao. Micro-Doppler Features Analysis of Wind Farm Echoes for Air Traffic Control Radar in Scanning Mode[J]. JOURNAL OF SIGNAL PROCESSING, 2015, 31(10): 1240-1246.
Citation: HE Wei-Kun, GUO Shuang-Shuang, WANG Xiao-Liang, WU Ren-Biao. Micro-Doppler Features Analysis of Wind Farm Echoes for Air Traffic Control Radar in Scanning Mode[J]. JOURNAL OF SIGNAL PROCESSING, 2015, 31(10): 1240-1246.

Micro-Doppler Features Analysis of Wind Farm Echoes for Air Traffic Control Radar in Scanning Mode

  • The wind farms may be have serious impact on air traffic control radar and other electronic equipment. The echoes of wind farms are coherently superposed by multiple wind turbine echoes. Due to the complex multipath environment, air traffic control radar may produce a large number of false targets, the analysis of the micro-Doppler features of wind farms echoes is of great significance to wind farms clutter detection, suppression and the improvement of civil aviation flight safety. The model of wind turbine echoes for air traffic control radar in scanning mode is constructed based on the scattered point’s superposition theory. The effect of multipath between the wind turbines and between wind turbine and ground on the micro-Doppler characteristics of echoes is studied, which can provide the theoretical foundation for the wind farm multipath clutter detection and inhibition. The comparison of the simulation results and the theoretical derivation demonstrate the effectiveness of the algorithm in this paper.
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