The application of Signal Processing Techniques in Improving Spectrometer Detection Limit

摘要：

Improving spectrometer detection limit using statistical principle and signal-processing technique are described simply in this work. In the detection of gas photoacoustic(PA) signal, accurate partitions of the sampled data affect on the detection limit to some extent although Lock-in amplification technique with high SNR and microphone sensor with high sensitivity have been used. A model and the resulting algorithm are proposed from PA-signal samples. The techniques are validated at ppb level on PA spectrometer for NH3 breath detection in high concentration of CO2 and H2O based on tunable erbiumdoped fiber laser (TEDFL) or for multicomponent trace gas detection based on waveguide CO2 laser or on other laser source.

关键词： detection limit independent component analysis (ICA) signal processing

作者: Zhiying Wu Yi Zhang Zuoyuan Shen

作者单位: Information Engineering Department, Environmental Management College of China, Qinhuangdao, 066004, Information Engineering Department, Environmental Management College of China, Qinhuangdao, 066004,

会议类型: 国际会议

会议名称: 2011 International Conference on Machanical Engineering,Materials and Energy(2011年机械工程、材料与能源国际会议 ICMEME 2011)

会议地点: 大连

会议语种:英文

页码: 1045-1050

在线出版日期: 2011-10-19（万方平台首次上网日期，不代表论文的发表时间）