An FPGA-based lock-in detection system to enable chemical species tomography using TDLAS
Chighine, Andrea and Fisher, Edward and Wilson, David and Lengden, Michael and Johnstone, Walter and McCann, Hugh; (2015) An FPGA-based lock-in detection system to enable chemical species tomography using TDLAS. In: 2015 IEEE International Conference on Imaging Systems and Techniques (IST). IEEE, Piscataway, NJ, pp. 1-5. ISBN 9781479986330 (https://doi.org/10.1109/IST.2015.7294460)
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Abstract
This paper presents the design, implementation and test of a compact, low-cost and fully digital signal recovery system for tunable diode laser absorption spectroscopy (TDLAS) in narrow line-width gas sensing applications. An FPGA-based digital lock-in amplifier (DLIA), in conjunction with TDLAS using the wavelength modulation spectroscopy (WMS) technique, is utilized to demodulate and extract first (1f) and second (2f) harmonic signals for a narrow CO2 feature in the spectrum region of 1997.2nm. The spectrum in this wavelength region shows suitably weak water absorption, enabling CO2 detection with high resolution. Gas-cell experiments were carried out using the DLIA and a conventional rack-mounted commercial lock-in amplifier. The comparison between the two systems shows good agreement, validating the feasibility of this approach and demonstrating the prospect for extension to a massively multichannel system to implement Chemical Species Tomography.
ORCID iDs
Chighine, Andrea, Fisher, Edward, Wilson, David ORCID: https://orcid.org/0000-0001-6096-6243, Lengden, Michael, Johnstone, Walter ORCID: https://orcid.org/0000-0002-6376-9445 and McCann, Hugh;-
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Item type: Book Section ID code: 54929 Dates: DateEventSeptember 2015PublishedNotes: © 2015 IEEE. Personal use of this ma terial is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, f or resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Subjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering
Technology and Innovation Centre > Sensors and Asset ManagementDepositing user: Pure Administrator Date deposited: 18 Jan 2016 15:44 Last modified: 02 Nov 2024 01:31 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/54929