湍流强度廓线激光雷达测量的反演算法研究

Inversion techniques for turbulence profile lidar

湍流强度廓线激光雷达通过测量各层的大气相干长度来获得湍流强度廓线。从测量的大气相干长度直接反演湍流强度廓线会出现很大的噪声增益。介绍了一种通过求导并结合理查森迭代方法来反演湍流强度廓线,并对这种方法进行了数值模拟。通过反演两种典型系数下的Hufnagel-Valley(H-V)_n^2模式廓线,两参数下反演廓线和原始廓线的平均相对误差分别为7.8%和10.6%,结果表明该算法具有较高的精度。

Turbulence intensity profile can be obtained by turbulence intensity profile lidar system through measuring a set of atmospheric coherence length. However, direct inversion from measured atmospheric coherence length data can result in a high noise gain. A new approach, which combines slope and Richardson method, was developed and its numerical simulation were performed. By recovering two representative Hufnagel-Valley（H-V） Cn^2 profiles, the average relative errors between initial profile and recovery profile are 7.8% and 10.6%, respectively. Numerical results demonstrate that this method has a good precision.