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Wind farm clutter suppression for air surveillance radar based on a combined method of clutter map and K-SVD algorithm

机译:基于杂波图和K-SVD算法的组合方法,风电场杂波抑制空气监控雷达

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摘要

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.
机译:提出了一种基于杂波图和K-SVD算法的组合方法的杂波抑制方法,其目的是减少风电场杂波引起的空气监测雷达的误报率。首先,使用恒定的误报率检测建立基于风力涡轮机的固定位置和多普勒光谱宽度特性的杂波图。然后使用所获得的杂波图来处理雷达检测到的迹线。为了在抑制杂波时保留目标,使用K-SVD算法处理杂波区域中的迹线,这首先提出在该研究中减轻风力涡轮机杂波。测量数据的实验结果表明,由风力涡轮机引起的误报可以有效地减少。

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