傅里叶变换微波光谱仪的信号采集与数据处理研究

引用本文: 唐辉, 朱海奇, 周卓辉, 许孜, 孙铭, 李力, 张玉珍, 陈钱, 康路. 傅里叶变换微波光谱仪的信号采集与数据处理研究. 分析化学, 2018, 46(5): 723-728. doi: 10.11895/j.issn.0253-3820.171253 [复制]

Citation: TANG Hui, ZHU Hai-Qi, ZHOU Zhuo-Hui, XU Zi, SUN Ming, LI Li, ZHANG Yu-Zhen, CHEN Qian, KANG Lu. Investigation on Signal Acquisition and Data Processing of A Fourier Transform Microwave Spectrometer. Chinese Journal of Analytical Chemistry, 2018, 46(5): 723-728. doi: 10.11895/j.issn.0253-3820.171253 [复制]

傅里叶变换微波光谱仪的信号采集与数据处理研究

唐辉 ^1,, 朱海奇 ^1,, 周卓辉 ^1,, 许孜 ^1,, 孙铭 ^1,,, 李力 ^1,, 张玉珍 ^1,2,, 陈钱 ^1,2,,, 康路 ^3,

1.	南京理工大学电子工程与光电技术学院, 南京 210094

2.	江苏省光谱成像与智能感知重点实验室, 南京 210094

3.	Department of Chemistry and Biochemistry, Kennesaw State University, Kennesaw, GA, USA 30144

通讯作者: 孙铭, msun@njust.edu.cn; 陈钱, chenq@njust.edu.cn

收稿日期: 2017-09-12

接受日期: 2018-03-10

出版日期: 2018-05-01

基金项目: 本文系国家自然科学基金项目(Nos.U1531107, 61627802)、中央高校基本科研业务费专项资金(Nos.30915011316, 30916011103)、江苏省"高层次创新创业人才引进计划"项目、南京理工大学本科生科研训练‘百千万’计划项目(No.201610288030x)和江苏省光谱成像与智能感知重点实验室2018年开放基金资助

Investigation on Signal Acquisition and Data Processing of A Fourier Transform Microwave Spectrometer

TANG Hui^1,, ZHU Hai-Qi^1,, ZHOU Zhuo-Hui^1,, XU Zi^1,, SUN Ming^1,,, LI Li^1,, ZHANG Yu-Zhen^1,2,, CHEN Qian^1,2,,, KANG Lu^3,

1.	School of Electronic Engineering and Optoelectronic Technology, Nanjing University of Science and Technology, Nanjing 210094, China

2.	Jiangsu Key Laboratory of Spectral Imaging & Intelligent Sense, Nanjing 210094, China

3.	Department of Chemistry and Biochemistry, Kennesaw State University, Kennesaw, GA, USA 30144

Corresponding author: SUN Ming, msun@njust.edu.cn; CHEN Qian, chenq@njust.edu.cn

Received Date: 2017-09-12

Accepted Date: 2018-03-10

Published Date: 2018-05-01

Fund Project: This work was supported by the National Natural Science Foundation of China (Nos.U1531107, 61627802)

傅里叶变换微波光谱仪能精确测量分子的转动跃迁谱线, 是量子化学和天文化学领域的重要实验工具。傅里叶变换微波光谱仪常利用混频器对高频微波分子信号进行下变频至低频后进行采样, 并进行多次累加平均以提高信噪比。为了寻求高效、灵敏和准确的分子转动光谱检测方案, 设计了零差式(Homodyne)和外差式(Heterodyne)两种不同的检测方案, 提出了时域数据累加平均和频域数据累加平均两种不同的数据处理方案。以稀释在载气氩气中0.5%的羰基硫(OCS)分子为标准样品, 对以上方案在差频200 MHz和0.4 MHz处分别进行了实验验证。研究结果表明, 外差式检测灵敏度高于零差式检测, 但设备成本更高; 频域数据累加平均较时域数据累加平均的信噪比好, 但数据处理量大, 数据处理耗时较长。

关键词: 微波光谱仪, 分子转动光谱, 傅里叶变换, 零差式检测, 外差式检测

As one of the most important laboratory tools for the research of quantum chemistry and astrochemistry, a microwave spectrometer can make accurate measurement of molecular spectra arising from rotational transitions.Fourier transform microwave (FTMW) spectrometers, in many cases, require down-conversion mixing plans by using mixers to bring the molecular signal down for A/D sampling, and multiple signal averaging to improve the signal/noise ratio as well.Two detection schemes, homodyne and heterodyne detection modes, were proposed in this project along with two data processing plans, averaging in the time domain and averaging in the frequency domain, to develop efficient, sensitive and accurate detection solutions for molecular rotational spectroscopy.With 0.5% OCS gas in argon as standard sample, verification experiment was conducted with frequency difference between LO and cavity resonance at 200 MHz and 0.4 MHz.The experimental results indicate that, the heterodyne detection method can provide better sensitivity than the homodyne scheme, but with increased cost for more devices, while the time-domain averaging can obtain much better signal-to-noise ratio than frequency-domain averaging, but with stronger data processing capacity and more time required.

Key words: Microwave spectrometer, Rotational spectroscopy, Fourier transform, Homodyne detection, Heterodyne detection

[1]	LI Li, SUN Ming, LI Xiao-Hua, ZHAO Zhen-Wen, MA Hui-Min, GAN Hai-Yong, LIN Zhen-Hui, SHI Sheng-Cai, Ziurys L M. Chinese J.Anal.Chem., 2014, 42(9): 1369-1378. doi: 10.11895/j.issn.0253-3820.140109 李力, 孙铭, 李晓花, 赵镇文, 马会民, 甘海勇, 林镇辉, 史生才, ZiurysL M. 分析化学, 2014, 42(9): 1369-1378. doi: 10.11895/j.issn.0253-3820.140109
[2]	Gordy W, Cook R L. Microwave Molecular Spectra. New York: Wiley, 1984, 1-10
[3]	Townes C H, Schawlow A L. Microwave Spectroscopy. Dover: New York, 1975, 1-24
[4]	Ziurys L, Milam S, Apponi A, Apponi A J, Woolf N J. Nature, 2007, 447: 1094-1097. doi: 10.1038/nature05905
[5]	Patterson D, Schnell M, Doyle J. Nature, 2013, 497: 475-477. doi: 10.1038/nature12150
[6]	Pate B. Science, 2011, 333: 947-948. doi: 10.1126/science.1207994
[7]	Thomas J, Seifert N, Jäger W, Xu Y. Angew.Chem.Int.Edit., 2017, 56(22): 6289-6293. doi: 10.1002/anie.201612161
[8]	Schnitzler E, Seifert N, Ghosh S, Thomas J, Xu Y, Jäger W. Phys.Chem.Chem.Phys., 2017, 19(6): 4440-4446. doi: 10.1039/C6CP08741H
[9]	Thomas J, Carrillo M, Serrato Ⅲ A, Lin W, Jäger W, Xu Y. J.Mol.Spectrosc., 2017, 335: 88-92. doi: 10.1016/j.jms.2017.03.015
[10]	Balle T J, Flygare W H. Rev.Sci.Instrum., 1981, 52(1): 33-45. doi: 10.1063/1.1136443
[11]	Sun M, Sargus B, Carey S, Kukolich S G. J.Chem.Phys., 2015, 142(15): 154306-. doi: 10.1063/1.4918351
[12]	Sun M, Apponi A, Ziurys L. J.Chem.Phys., 2009, 130(3): 034309-. doi: 10.1063/1.3049444
[13]	Kukolich S, Sarkozy L. Rev.Sci.Instrum., 2011, 82(9): 094103-. doi: 10.1063/1.3627489
[14]	Suenram R, Grabow J, Zuban A. Rev.Sci.Instrum., 1999, 70(4): 2127-2135. doi: 10.1063/1.1149725
[15]	Wang J, Oates D, Kukolich S. J.Chem.Phys., 1973, 59(10): 5268-5276. doi: 10.1063/1.1679869
[16]	Kubo K, Furuya T, Saito S. J.Mol.Spectrosc., 2003, 222(2): 255-262. doi: 10.1016/j.jms.2003.09.001

研究报告

傅里叶变换微波光谱仪的信号采集与数据处理研究

唐辉, 朱海奇, 周卓辉, 许孜, 孙铭, 李力, 张玉珍, 陈钱, 康路

关键词: 微波光谱仪, 分子转动光谱, 傅里叶变换, 零差式检测, 外差式检测

Investigation on Signal Acquisition and Data Processing of A Fourier Transform Microwave Spectrometer

TANG Hui, ZHU Hai-Qi, ZHOU Zhuo-Hui, XU Zi, SUN Ming, LI Li, ZHANG Yu-Zhen, CHEN Qian, KANG Lu

Key words: Microwave spectrometer, Rotational spectroscopy, Fourier transform, Homodyne detection, Heterodyne detection

计量

PDF下载量(26)
文章访问量(1208)
HTML全文浏览量(6)