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针对警戒雷达相对于天气雷达存在的信噪比低、脉冲重复频率低,风速模糊严重的问题,提出了一种基于参考面的风速反演方法。首先对数据进行有效的降噪预处理,然后通过最小二乘法构造参考面,大大降低速度的模糊程度,使得高倍模糊风速能够充分地解模糊。从理论上分析了该方法和传统方法的性能。实验结果表明,与传统方法相比,该方法能够在低信噪比、极端天气情况下具有更强的稳定性,在反演精度上具有一定的优势,减少风速的不连续性,并可以进行并行运算。
Aiming at the problems of low signal-to-noise ratio, low pulse repetition frequency and severe wind speed of guard radar with respect to weather radar, a wind speed inversion method based on reference surface is proposed. Firstly, the data is effectively noise-reduced preprocessing, then the reference surface is constructed by the least square method, which greatly reduces the degree of blurring of the velocity and makes the high-fold fuzzy wind velocity sufficiently defuzzified. The performance of the method and the traditional method is theoretically analyzed. Experimental results show that compared with the traditional method, this method can be more stable under low signal-to-noise ratio and extreme weather conditions, and has some advantages in accuracy of inversion, reducing the discontinuity of wind speed and can be carried out Parallel computing.