低空风切变探测是机载气象雷达主要的工作方式,其核心技术是信号处理算法。信号处理算法的有效性直接关系 到低空风切变有效探测。文中介绍了低空风切变的概念和特征,系统地研究了信号处理相关技术。在传统FFT频域法的 基础上,运用现代谱估计ARburg法对气象回波进行频谱估计,以提高气象回波平均速度和谱宽的计算准确性。在风速梯 度计算方面,应用最小二乘法技术,有效地减小噪声和速度测量误差带来的影响。最后利用风切变回波模拟数据进行了 系统仿真分析,仿真结果验证了该系统算法的有效性。

The detection of low-altitude windshear is a major working mode of airborne weather radar, and its core technology is the signal processing algorithms. The effectiveness of the signal processing algorithms is directly related to the effective detection of low-altitude windshear. In this paper, the concept and the characteristics of the low-altitude windshear have been introduced, the relative signal processing technology has been systematically researched. On the basis of the traditional FFT spectral estimation, the modern spectral estimation ARburg method has been used to do the spectral analysis for weather echo, to improve the calculating accuracy of the average velocity and the spectral width of weather echo. In the windspeed grade calculation, the least squares has been used to reduce the effect of noice and errors in the velocity measurements. Finally, the windshear echo simulating data has been used to do the system simulation and analysis. The simulation results verify the effectiveness of this system algorithms.