Title :
Accuracy Enhancement of Fiber Gas Sensor by CRD Technique and LMS Algorithm
Author :
Ni, N. ; Chan, C.C. ; Chuah, T.K. ; Xia, L. ; Sun, J. ; Shum, P.
Author_Institution :
Sch. of Chem. & Biomed. Eng., Nanyang Technol. Univ., Singapore
Abstract :
A digital least mean square adaptive filter is proposed to reduce ASE noise in a CRD acetylene sensing fiber loop for improving the measurement accuracy. The simulation and experimental results show that the measurement accuracy in term of concentration of acetylene could achieve about 15 ppm.
Keywords :
adaptive filters; chemical variables measurement; fibre optic sensors; gas sensors; least mean squares methods; optical noise; organic compounds; superradiance; acetylene concentration; acetylene sensing fiber loop; amplified spontaneous emission noise; cavity ring-down spectroscopy; digital least mean square adaptive filter; fiber gas sensor; Attenuation; Attenuators; Biomedical measurements; Erbium-doped fiber amplifier; Gas detectors; Least squares approximation; Noise measurement; Optical fiber sensors; Optical fibers; Pollution measurement;
Conference_Titel :
Lasers and Electro-Optics - Pacific Rim, 2007. CLEO/Pacific Rim 2007. Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4244-1173-3
Electronic_ISBN :
978-1-4244-1174-0
DOI :
10.1109/CLEOPR.2007.4391486
