Abstract

We report on the self-referenced, intensity-based, remote and passive interrogation of a fiber Bragg grating (FBG) for point sensing, by use of a reconfigurable dual-wavelength source composed of a tunable wavelength and subsequent suppressed-carrier, electro-optic amplitude modulation. The demodulation procedure is based on the measurement of the reflected power at two different wavelengths within the FBG spectral response. The grating was interrogated by use of conventional spectral analysis, and also after 32.9 km of single-mode fiber using a dispersive incoherent optical Fourier-domain reflectometry technique. Both procedures provide picometer resolution in the determination of Bragg wavelength shifts at a comparatively similar scan time ($\sim 1\mathrm{s}$) and received power ($-16\mathrm{dBm}$). The main limitations in each interrogation scheme have been identified. These results show the feasibility of interrogation systems incorporating relatively simple frequency combs at a calibrated, and eventually reconfigurable, wavelength grid with an, at least, similar performance to that of commercial FBG interrogators.

© 2016 Optical Society of America

Fiber-MZI-based FBG sensor interrogation: comparative study with a CCD spectrometer

Bhargab Das and Vikash Chandra
Appl. Opt. 55(29) 8287-8292 (2016)

Fiber Bragg grating dynamic strain sensor using an adaptive reflective semiconductor optical amplifier source

Heming Wei, Chuanyi Tao, Yinian Zhu, and Sridhar Krishnaswamy
Appl. Opt. 55(10) 2752-2759 (2016)

Adaptive demodulation of dynamic signals from fiber Bragg gratings using two-wave mixing technology

Yi Qiao, Yi Zhou, and Sridhar Krishnaswamy
Appl. Opt. 45(21) 5132-5142 (2006)

Fiber Bragg grating interrogation using wavelength modulated tunable distributed feedback lasers and a fiber-optic Mach–Zehnder interferometer

Anirban Roy, Arup Lal Chakraborty, and Chandan Kumar Jha
Appl. Opt. 56(12) 3562-3569 (2017)

Using maximum spectrum of continuous wavelet transform for demodulation of an overlapped spectrum in a fiber Bragg grating sensor network

Ying Hu, Wenqin Mo, Kaifeng Dong, Fang Jin, and Junlei Song
Appl. Opt. 55(17) 4670-4675 (2016)