大气探测激光雷达突变信号处理方法研究（特邀）

在大气探测激光雷达的实际应用中，当激光探测路径上存在后向散射系数很大的云雾、烟尘或硬目标，且由其引起的突变信号强烈到一定程度时，使用Fernald法后向积分反演消光系数会在突变信号后向数据中产生明显的反演误差。根据 Fernald法后向积分的特点并结合分段斜率法，提出了一种新的反演方法以应对上述情况，优化了传统算法的反演策略。即通过判断突变信号位置不断更新参考距离和边界值进行迭代反演，并将更准确的反演数据拼接覆盖到初始反演数据中。使用垂直和水平探测所得到的实测数据对反演方法进行有效性验证，并且对被优化数据和邻近无突变信号时相应的数据进行了对比。结果表明，相比传统算法，垂直和水平探测的相关数据在新的反演方法下分别优化了消光系数相对误差约79%和96%，验证了该方法具有一定的可行性。

Study on abrupt signal processing method of atmospheric lidar (Invited)

In the practical application of atmospheric lidar, when there are clouds, smoke or hard targets with large backscatter coefficient on the laser detection path, and the abrupt signal is strong enough, the backward integration inversion of extinction coefficient by Fernald method will produce obvious inversion error in the backward data of abrupt signal. Based on the characteristics of Fernald backward integration and combined with the piecewise slope method, a new inversion method was proposed to deal with the above situation and optimize the inversion strategy of the traditional algorithm. That is, by judging the position of the abrupt signal, the reference distance and boundary value were constantly updated for iterative inversion, and more accurate inversion data were spliced and overwritten into the initial inversion data. The validity of the inversion method was verified by using the measured data obtained from vertical and horizontal detection, and the optimized data was compared with the corresponding data when there was no abrupt signal nearby. The results show that, compared with the traditional algorithm, the relative errors of extinction coefficients of vertical and horizontal detection data are optimized by the new inversion method, which is about 79% and 96%, respectively, verifying the feasibility of the new method.