Integrated FBG Sensors Interrogation Using Active Phase Demodulation on a Silicon Photonic Platform

Marin, Yisbel E.; Nannipieri, Tiziano; Otón, Claudio J.; Pasquale, F. Di

doi:10.1109/jlt.2016.2598395

Cited by 40 publications

(17 citation statements)

References 10 publications

(8 reference statements)

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“…Other applications may leverage the potential of added complexity in photonic circuits. Silicon photonics is seen as an enabling technology for biosensing and diagnostics, spectroscopy, structural monitoring, quantum information / quantum computing, microwave photonics, and can be applied for various sensor functions (accelerometers, gyroscopes, magnetic fields), etc. Such applications will require custom chip designs with very different requirements than transceivers for datacenter and telecom applications.…”

Section: Introductionmentioning

confidence: 99%

Silicon Photonics Circuit Design: Methods, Tools and Challenges

Bogaerts

Chrostowski

2018

Laser & Photonics Reviews

420

230

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Silicon Photonics technology is rapidly maturing as a platform for larger‐scale photonic circuits. As a result, the associated design methodologies are also evolving from component‐oriented design to a more circuit‐oriented design flow, that makes abstraction from the very detailed geometry and enables design on a larger scale. In this paper, the state of this emerging photonic circuit design flow and its synergies with electronic design automation (EDA) are reviewed. The design flow from schematic capture, circuit simulation, layout and verification is covered. The similarities and the differences between photonic and electronic design, and the challenges and opportunities that present themselves in the new photonic design landscape, such as variability analysis, photonic‐electronic co‐simulation and compact model definition are discussed.

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Section: Introductionmentioning

confidence: 99%

Silicon Photonics Circuit Design: Methods, Tools and Challenges

Bogaerts

Chrostowski

2018

Laser & Photonics Reviews

420

230

View full text Add to dashboard Cite

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“…The key to FBG sensing is to interrogate the Bragg wavelength accurately. A variety of FBG interrogation schemes have been developed, such as tunable Fabry-Perot (F-P) filter method [3], [4], optical interferometer method [5], coherent ultrashort pulsed light source [6], spectrum analysis method [7], and so on. The commercial devices, such as the Micron Optics si255, have achieved a ∼1 pm wavelength stability [8].…”

Section: Introductionmentioning

confidence: 99%

A Method of HCN Gas Spectrum Denoising and Baseline Removal Used for FBG Interrogation

et al. 2020

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Hydrogen cyanide (HCN) gas based fiber Bragg grating (FBG) interrogation is a promising approach in thermal cycling environment. However, the HCN spectrum suffers from strong noise and baseline wander induced by the interrogation system, which limits the measurement stability and reliability. In this paper, we propose an integrated method for spectral denoising and baseline removal to improve the interrogation performance. The method combines the classical empirical mode decomposition (EMD) with the recently developed convolution window (CW) filtering. After the HCN spectrum is decomposed by EMD, the noise and baseline components are extracted from the intrinsic mode functions via a ''multiband'' filtering approach. Verification experiments are performed using HCN gas cells with different absorption spectra. The results show that the proposed method is able to remove both noise and baseline with minimum signal distortion. Compared with other methods, the optimal interrogation stability with 25 Torr HCN gas cell is improved from ±1.43 pm to ±0.87 pm. For the 100 Torr HCN gas cell, the optimal interrogation stability is improved from ±1.75 pm to ±0.99 pm. In addition, the proposed method also improves the reliability of the interrogation system in the case of large light attenuation.

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“…More over, the high refractive index contrast of SOI optical waveguides allows for a very tight bend radius and therefore, ultra compact devices can be fabricated. The portfolio of SOI waveguide technology applications has expanded towards applications such as biosensing [6]- [8], biomedical analysis [9], [10], structural analysis [11], [12] and gas sensing [13], [14]. Over the years, there has been progressively more interest towards longer wavelengths for a variety of new sensing markets and in particular for mid-infrared absorption spectroscopy.…”

Section: Introductionmentioning

confidence: 99%

Integrated Silicon-on-Insulator Spectrometer With Single Pixel Readout for Mid-Infrared Spectroscopy

Vasiliev

Muneeb

Allaert

et al. 2018

IEEE J. Select. Topics Quantum Electron.

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Mid-infrared spectroscopy in the 2-4 µm wavelength range is of cardinal value for many sensing applications. Current solutions involve bulky and expensive systems to operate. Silicon-on-Insulator (SOI) waveguide technology offers means to miniaturize the different parts of the spectrometer. However, the development of on-chip detectors for the mid-infrared wavelength range is in its infancy and the characteristics are not on par with their discrete (cooled) counterparts. In this work, a compact and cheap mid-infrared spectrometer is realized by integrating a SOI Arrayed Waveguide Grating (AWG) spectrometer operating in the 2.3 µm wavelength range with a high performance midinfrared photodiode. The AWG has twelve output channels with a spacing of 225 GHz (4 nm) and a free spectral range (FSR) of 3150 GHz (56 nm), which are simultaneously collected by a single, transistor outline (TO)-packaged extended InGaAs PIN photodiode. The response of each AWG channel is discerned by time-sequentially modulating the optical power in each output channel using integrated Mach-Zehnder based (MZI) thermooptic modulators with a π-phase shift power consumption of ≈ 50 mW. As an example, the absorption spectrum of a 0.5 mm thick polydimethylsiloxane sheet (PDMS) is sampled and compared to a benchtop spectrometer to good agreement.

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Integrated FBG Sensors Interrogation Using Active Phase Demodulation on a Silicon Photonic Platform

Cited by 40 publications

References 10 publications

Silicon Photonics Circuit Design: Methods, Tools and Challenges

Silicon Photonics Circuit Design: Methods, Tools and Challenges

A Method of HCN Gas Spectrum Denoising and Baseline Removal Used for FBG Interrogation

Integrated Silicon-on-Insulator Spectrometer With Single Pixel Readout for Mid-Infrared Spectroscopy

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