含有突变信号的激光雷达能见度反演

发布时间：2019-02-17 12:55

【摘要】：激光雷达进行大气能见度探测时,当探测路径上存在云、雾、烟尘或硬目标时,大气消光系数会在局部发生显著变化,表现为激光雷达回波信号在原有衰减趋势上出现突变。受此影响,直接使用现有算法将导致能见度反演精度低或错误反演。为此提出一种将突变点定位、消光系数边界值确定、消光系数迭代反演相结合的能见度反演算法。首先查找、定位突变信号所在位置;然后剔除突变点,利用斜率法得到消光系数边界值;最后基于Fernald法,以迭代方式反演大气消光系数及能见度。对两种典型大气消光模式的仿真实验表明,该算法提高了能见度反演精度,能够获得更为准确的全局能见度。利用自行研制的激光雷达能见度仪实测回波数据也验证了该算法的有效性。
[Abstract]:When there are clouds, fog, smoke or hard targets in the detection path, the atmospheric extinction coefficient will change significantly in the local area when the laser radar detects atmospheric visibility, which shows that the laser radar echo signal has a sudden change in the original attenuation trend. Under the influence of this, the direct use of the existing algorithms will result in low accuracy or false inversion of visibility. For this reason, a visibility inversion algorithm is proposed, which combines abrupt point location, extinction coefficient boundary value determination and extinction coefficient iterative inversion. Firstly, the location of the abrupt signal is located, then the abrupt point is eliminated and the boundary value of extinction coefficient is obtained by slope method. Finally, the atmospheric extinction coefficient and visibility are retrieved iteratively based on Fernald method. The simulation results of two typical atmospheric extinction models show that the algorithm can improve the accuracy of visibility inversion and obtain more accurate global visibility. The effectiveness of the algorithm is also verified by using the echo data measured by the lidar visibility meter developed by ourselves.
【作者单位】：中国民航大学工程技术训练中心;中国民航大学民航气象研究所;
【基金】：国家自然科学基金(U1433202,U1533113) 中央高校基本科研基金(3122016D007)
【分类号】：TN958.98

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