海杂波背景下基于MBMC的低空风切变风速估计方法

当机载气象雷达在海杂波背景下探测低空风切变时,海杂波信号会覆盖低空风切变信号,造成风速无法准确估计。针对上述问题,提出了一种在海杂波背景下基于多波束多级联(multi-beam multi-cascade, MBMC)的低空风切变风速估计方法。该方法首先利用空时插值算法矫正机载前视阵海杂波的距离依赖性,然后对空间多波束联合时域三次滑窗后的输出再级联多普勒滤波器,构造得到降维变换矩阵,执行空、时域联合自适应处理,最后通过构造代价函数估计得到风场速度。仿真结果表明,在海杂波背景下本文方法可以实现风场速度的准确估计,且具有较好的稳健性。

Low-altitude wind shear wind speed estimation method based on MBMC under sea clutter

When the airborne weather radar detects low-altitude wind shear under the background of sea clutter, the sea clutter signal will cover the low-altitude wind shear signal, making it impossible to accurately estimate the wind speed. In view of the above problems, a low-altitude wind shear wind speed estimation method is proposed based on multi-beam multi-cascade (MBMC) under the background of sea clutter. Firstly, This method uses the space-time interpolation algorithm to correct the distance dependence of the airborne forward-looking sea clutter, and then cascades the Doppler filter to the output of the adjacent multi-beam in the spatial domain joint sliding three times in the time domain, constructing a dimensionality reduction matrix, performing joint adaptive processing in space and time domains, and finally constructing a cost function to estimate the wind field velocity. The simulation results show that the proposed method can accurately estimate the wind speed under the background of sea clutter, and has good robustness.