基于警戒雷达的风速反演技术

Wind velocity inversion method based on surveillance radar

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。

A wind velocity inversion method was developed based on a reference surface to overcome the deficiencies of the surveillance radar, such as low signal-noise ratios, low pulse recurrence frequencies, and excessive velocity aliasing. Preprocessing reduces the noise. The Least Squares method was used to construct the reference surface to significantly dealias the high velocity aliasing. A theoretical analysis and test results show the method is more robust than traditional methods at low signal-to-noise ratios and in bad weather, and has improved inversion accuracy. In addition, the method can be parallelized.