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在拉曼(Raman)激光雷达探测CO2实验中所采集的拉曼回波信号具有比较大的统计误差,有效减小统计误差,获得较高的探测精度是非常重要的工作。利用自适应滤波器对拉曼回波信号分段进行数据处理,可得到在分段的各个空间间隔内的随距离几乎不变的CO2混合比统计误差,经过自适应滤波器对信号进行处理后,Raman激光雷达对合肥地区夜晚CO2气体浓度探测达到比较高的测量精度,在1.5～5km高度范围内,CO2浓度统计误差最大为2.5%,5～8km统计误差最大为5%,8～10km统计误差最大为10%。利用此技术也可以量化估计在较高的空间分辨率下满足探测精度要求的激光脉冲数。
The Raman echo signal collected during the Raman lidar detection CO2 experiment has relatively large statistical errors, and it is very important to reduce the statistical error effectively and obtain the high detection accuracy. Using adaptive filter to process the data of Raman echo signal segment, the statistical error of CO2 mixture ratio with the distance is almost constant in each interval of the segment, and after the signal is processed by the adaptive filter , Raman lidar achieves relatively high measurement precision of CO2 gas concentration at night in Hefei area. The maximum statistical error of CO2 concentration is 2.5%, the maximum statistical error of 5 ~ 8km is 5%, and the statistics of 8 ~ 10km The maximum error is 10%. This technique can also be used to quantify the number of laser pulses that are estimated to meet the detection accuracy requirements at a high spatial resolution.