光学学报, 2017, 37 (4): 0428003, 网络出版: 2017-04-17   

拉曼激光雷达测温的综合多级质量控制技术 下载: 546次

Synthetical Multilevel Quality Analysis and Control Technique for Raman Lidar Temperature Detection
作者单位
1 西安理工大学机械与精密仪器工程学院, 陕西 西安 710048
2 中国气象科学研究院灾害天气国家重点实验室, 北京 100081
摘要
利用10个方程对拉曼激光雷达系统获得的原始数据进行标定,进而反演温度,并分别与同时刻、同有效对等高度层的标准温度进行定性对比。选取50组样本,从定量分析(相似性评判、相差性评判,以及综合评判)角度,通过权重系数筛选、误差诊断以及标准化处理等手段对这些样本开展特征统计,筛选出每一级的质量评判参数与分析方法。所获取的各级评判标准均基于较大量样本库,可以较好地代表激光雷达测温的平均性能。实验样本库之外的实时探测样本检验表明,综合多级质量控制技术可有效地描述雷达测温数据的优劣;在不同天气背景下激光雷达的测温效果存在差异。
Abstract
The original data acquired by Raman lidar system is calibrated by ten equations. The temperature is inversed, and it is compared with standard temperature at the same moment and the same effective altitude qualitatively. Then 50 groups of data are selected as statistical samples. From the perspective of quantitative analysis (similarity evaluation, difference evaluation, and comprehensive evaluation), the characteristic statistics of the samples is carried out by weight coefficient, error diagnosis and standard processing. Quality evaluation parameters and analysis method of each level are filtered. The acquired evaluation standards of each level are all based on the sample library with lager amount, which can represent average behavior of the temperature detection of lidar better. The test of real-time detection samples beyond the sample library indicate that the comprehensive multilevel control technique can describe the advantages and disadvantages of temperature data detection of lidar effectively. Temperature detection effect of lidar at different weather conditions exists differences.

李博, 华灯鑫, 周艳, 张铭, 王玉峰, 刘君, 狄慧鸽. 拉曼激光雷达测温的综合多级质量控制技术[J]. 光学学报, 2017, 37(4): 0428003. Li Bo, Hua Dengxin, Zhou Yan, Zhang Ming, Wang Yufeng, Liu Jun, Di Huige. Synthetical Multilevel Quality Analysis and Control Technique for Raman Lidar Temperature Detection[J]. Acta Optica Sinica, 2017, 37(4): 0428003.

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