艾伦方差
卡尔曼滤波器
小波
噪音(视频)
算法
度量(数据仓库)
探测器
信号(编程语言)
干扰(通信)
标准差
微量气体
检出限
吸收(声学)
光学
电子工程
材料科学
计算机科学
数学
物理
工程类
电气工程
统计
人工智能
频道(广播)
数据库
气象学
图像(数学)
程序设计语言
作者
Pengquan Zhang,Weiyao Fan,Tieming Xiang
摘要
Abstract To measure the concentration of trace CO 2 with high performance, tunable diode laser absorption spectroscopy technology was adopted in this paper. Kalman‐wavelet algorithm was used to depress the detector noise and optical interference fringe noise. Experimental results show that the second harmonic signal‐to‐noise ratio of the measuring system at 50ppmv CO 2 gas was improved by 2.06 times compared with no filtering. Under different CO 2 concentrations, the measuring errors are from 2.57% to 2.66%. According to Allan variance analysis, the minimum detection limit was reduced to 5.2 ppmv with the optimal integration time of 61 s. And, the standard deviation value was decreased from 33 to 19 ppmv during long‐term measurement, which can guarantee the high‐performance measurement of CO 2 gas.
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