Fiber Loop Ring-Down Magnetic Field Sensor Using Frequency-Shifted Interferometry and D-Shaped Fiber Coated With Magnetic Fluid

Chen, Jiaxuan; Ou, Yiwen; Chen, Wen-Jia; Li, Fang; Li, Mengmeng

doi:10.1109/lmag.2021.3067592

Cited by 5 publications

(4 citation statements)

References 21 publications

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“…According to Eq. ( 7), the calculated detection limit of the proposed sensing system was 0.504 Gs, which is better than that of the FCRD-based magnetic field sensor reported in [29,31]. In addition, the effective number of roundtrips N e was calculated to be about 8, which means 8 rounds of interaction in the SH.…”

Section: Resultsmentioning

confidence: 63%

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Optical Sensor Using Space-Domain Active Fiber Cavity Ringdown Technique

Chen

Zhu

et al. 2021

Preprint

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A novel active fiber cavity ringdown (FCRD) technique using frequency-shifted interferometry (FSI) is proposed for the first time. Using this scheme, external parameters can be monitored in the space domain by measuring the ringdown distance instead of ringdown time. A bidirectional erbium-doped fiber amplifier (Bi-EDFA) is employed to compensate the inherent cavity loss for achieving higher sensitivity. And two band-pass filters are used to reduce the amplified spontaneous emission (ASE) noise of the Bi-EDFA. Compared with the well-known time-domain active FCRD scheme, our proposed method enables us to avoid using pulsed laser needed in time-domain active FCRD, it uses continuous-wave laser to inject into the fiber cavity and stabilize the optical power in the fiber cavity, which can suppress gain fluctuations of the EDFA and thus improve the detecting precision. Moreover, this novel method enables us to use differential detection method for further reducing the ASE noise, and thus eliminating the baseline drift of ringdown signal. A magnetic field sensor was developed as a proof-of-concept demonstration. The experimental results demonstrate that the proposed sensor with a sensitivity of 0.01537 (1/km·Gs) was achieved. This is the highest magnetic field sensitivity compared to the time-domain active FLRD method. Due to the reduced ASE noise, the stability of the proposed sensing system was also greatly improved.

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Section: Resultsmentioning

confidence: 63%

“…It is worth noting that the EMG-603P MF used here wasn't diluted using distilled water as in our recent work [29]. The space-domain ringdown event couldn't be observed anyway before connecting the Bi-EDFA inside the fiber cavity, which indicates that high concentration of MF causes a large cavity loss.…”

Section: Methodsmentioning

confidence: 84%

Optical Sensor Using Space-Domain Active Fiber Cavity Ringdown Technique

Chen

Zhu

et al. 2021

Preprint

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“…FCRDS presents a notable departure from the original bulky CRDS systems, thanks to the inherent advantages of optical fiber, including its lightweight nature, immunity to electromagnetic interference, corrosion resistance, and compact form factor. FCRDS system adaptations have been reported to enable measurements in diverse domains, encompassing toxin detection, drug monitoring, trace gas analysis, magnetic field sensing, weak strain measurement, temperature assessment, and refractive index sensing 30–33 . Current refractive index sensors include optical interference sensors, photonic crystal sensors, and Mach‐Zehnder interferometers.…”

Section: Introductionmentioning

confidence: 99%

“…FCRDS system adaptations have been reported to enable measurements in diverse domains, encompassing toxin detection, drug monitoring, trace gas analysis, magnetic field sensing, weak strain measurement, temperature assessment, and refractive index sensing. [30][31][32][33] Current refractive index sensors include optical interference sensors, photonic crystal sensors, and Mach-Zehnder interferometers. These sensors all have good measurement accuracy but often require complex and expensive optical equipment.…”

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confidence: 99%

Adaptive peak extraction algorithm assisted fiber cavity ring‐down spectroscopy measurement system for refractive index sensing

Li,

Zhang,

Wang

et al. 2023

Micro & Optical Tech Letters

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The article presents a dual‐optimized adaptive algorithm based on continuous wavelet transform and derivative precise peak capture is developed for fiber cavity ring‐down spectroscopy. Adaptive spectral signal processing is achieved so that peak selection blindness can be effectively solved. To verify the performance of the dual‐optimized adaptive algorithm, a highly sensitive refractive index sensor using a bandgap fiber‐based linear fiber cavity is demonstrated. The developed dual‐optimized adaptive algorithm is compared with the conventional maximum extraction algorithm, and the results show that the dual‐optimized adaptive algorithm has a better performance in suppressing noise and processing superimposed peaks. A stable enhancement factor of 5 is obtained, indicating that the newly developed dual‐optimized adaptive algorithm can generate a high‐quality cavity ring‐down spectrum for applications including refractive index sensors, biosensors, strain gauges, and pressure sensors.

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