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由于归一化后向散射截面积与相对风向的双调和关系及测量误差的存在,散射计风场反演算法一般只能得到几个模糊解,需要采用圆中数滤波法进行模糊去除以确定唯一的风矢量.但是对于局部风场中伪解集中分布的情况,圆中数滤波法往往失效而在滤波后风场中产生块状模糊,从而降低反演精度.针对此问题,提出一种块状模糊的识别与去除方法,用于反演滤波后风场的进一步优化处理,实验证明该方法对大部分块状模糊能够有效识别与去除.
Because of the dual harmonic relationship between the normalized backscattering cross-sectional area and the relative wind direction and the existence of the measurement error, the wind field inversion algorithm of the scatterometer generally can only get several fuzzy solutions, The only wind vector.However, for the localized distribution of pseudo-solutions in local wind farms, the circular median filtering method often fails and produces blockiness in the filtered wind field, thus reducing the accuracy of the inversion.In this paper, a The method of block fuzzy identification and removal is used to further optimize the filtered wind field. Experiments show that this method can effectively identify and remove most of the block fuzzy.