A clutter suppression method based on a combined method of clutter map and K-SVD algorithm has been proposed, which aims at reducing false alarm rate of air surveillance radar caused by wind farm clutter. First, a clutter map, based on the fixed position and Doppler spectral width characteristics of wind turbines, is established using constant false alarm rate detection. The obtained clutter map is then used to process the traces detected by radar. To retain the target while the clutter is suppressed, the traces in the clutter area are processed using the K-SVD algorithm, which is first proposed to mitigate wind turbine clutter in this study. The experimental results of measured data show that the false alarm caused by the wind turbines can be effectively reduced.

中文翻译：

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基于杂波图和K-SVD算法的空中监视雷达风场杂波抑制

提出了一种基于杂波图和K-SVD算法相结合的杂波抑制方法，旨在降低风电场杂波引起的空中监视雷达误报率。首先，使用恒定的误报率检测，基于风力涡轮机的固定位置和多普勒频谱宽度特性，建立杂波图。然后，将获得的杂波图用于处理雷达检测到的轨迹。为了在抑制杂波的同时保留目标，使用K-SVD算法处理杂波区域中的迹线，该算法在本研究中首先被提出来减轻风力涡轮机的杂波。实测数据的实验结果表明，可以有效减少风机引起的误报。