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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。
The original data obtained by Raman lidar system were calibrated by using 10 equations, then the temperature was inverted and qualitatively compared with the standard temperature at the same time and the effective equivalence level respectively. Fifty groups of samples were selected to carry out statistical analysis of the characteristics of the samples from the aspects of quantitative analysis (similarity evaluation, phase difference evaluation and comprehensive evaluation) through weight coefficient screening, error diagnosis and standardized processing, and the quality evaluation of each level was screened out Parameters and Analysis Methods. The obtained evaluation criteria at all levels are based on a large number of sample banks, which can better represent the average performance of the lidar. The test of real-time detection samples outside the experimental sample bank shows that the comprehensive multi-level quality control technique can effectively describe the advantages and disadvantages of the radar temperature measurement data; and the difference of the temperature measurement results of the laser radar in different weather backgrounds.