Model-based compressed sensing of fiber Bragg grating arrays in the frequency domain

Werzinger, Stefan; Gottinger, Michael; Gussner, Sandra; Bergdolt, Sven; Engelbrecht, Rainer; Schmauß, Bernhard

doi:10.1117/12.2263462

Cited by 10 publications

(17 citation statements)

References 4 publications

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“…Considering that at a given measurement wavelength

, only two parameters of a grating are actually required, in particular the position

and reflectivity

, the frequency response

exhibits a sparse character. This leads to the idea of a model-based processing, where the few required parameters are directly estimated from the frequency domain data using a sparse parametric model [ 15 ].…”

Section: Methodsmentioning

confidence: 99%

“…Model-based signal processing [ 14 , 15 ] can be a very efficient technique in this context, as system states and sensor information can be estimated, using specifically tailored parametric models, also exploiting prior knowledge of the sensors. In this paper, we propose and demonstrate a novel model-based processing concept for quasi-distributed sensing with fiber Bragg grating (FBG) arrays, providing increased efficiency compared to conventional techniques, in particular Fourier transform processing [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

“…Otherwise, crosstalk between nearby reflection peaks due to spectral leakage would appear. This requires an overly large electrical measurement bandwidth, increasing system costs [ 15 ]. While the spectral leakage effect could be well suppressed by windowing [ 24 ], this would further compromise the spatial resolution and introduce a processing loss.…”

Section: Introductionmentioning

confidence: 99%

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Model-Based Position and Reflectivity Estimation of Fiber Bragg Grating Sensor Arrays

Werzinger

Zibar

Köppel

et al. 2018

Sensors

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We propose an efficient model-based signal processing approach for optical fiber sensing with fiber Bragg grating (FBG) arrays. A position estimation based on an estimation of distribution algorithm (EDA) and a reflectivity estimation method using a parametric transfer matrix model (TMM) are outlined in detail. The estimation algorithms are evaluated with Monte Carlo simulations and measurement data from an incoherent optical frequency domain reflectometer (iOFDR). The model-based approach outperforms conventional Fourier transform processing, especially near the spatial resolution limit, saving electrical bandwidth and measurement time. The models provide great flexibility and can be easily expanded in complexity to meet different topologies and to include prior knowledge of the sensors. Systematic errors due to crosstalk between gratings caused by multiple reflections and spectral shadowing could be further considered with the TMM to improve the performance of large-scale FBG array sensor systems.

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“…Considering that at a given measurement wavelength

, only two parameters of a grating are actually required, in particular the position

and reflectivity

, the frequency response

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Model-Based Position and Reflectivity Estimation of Fiber Bragg Grating Sensor Arrays

Werzinger

Zibar

Köppel

et al. 2018

Sensors

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“…While scattering-based concepts enable truly distributed temperature sensing (DTS), FBG sensors are better suited for the monitoring of hot spots at distinct positions with a good temperature resolution. Zaidi et al (2012) combined Raman DTS and FBGs for dynamic strain sensing. However, they used two separate fibers (single-mode for FBGs, multimode for Raman DTS) and a time domain interrogation approach which was not suitable to measure the absolute Bragg wavelength.…”

Section: Fiber Optical Temperature Sensingmentioning

confidence: 99%

Combined distributed Raman and Bragg fiber temperature sensing using incoherent optical frequency domain reflectometry

Koeppel

Werzinger

Ringel

et al. 2018

J. Sens. Sens. Syst.

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Optical temperature sensors offer unique features which make them indispensable for key industries such as the energy sector. However, commercially available systems are usually designed to perform either distributed or distinct hot spot temperature measurements since they are restricted to one measurement principle. We have combined two concepts, fiber Bragg grating (FBG) temperature sensors and Raman-based distributed temperature sensing (DTS), to overcome these limitations. Using a technique called incoherent optical frequency domain reflectometry (IOFDR), it is possible to cascade several FBGs with the same Bragg wavelength in one fiber and simultaneously perform truly distributed Raman temperature measurements. In our lab we have achieved a standard deviation of 2.5 K or better at a spatial resolution in the order of 1 m with the Raman DTS. We have also carried out a field test in a high-voltage environment with strong magnetic fields where we performed simultaneous Raman and FBG temperature measurements using a single sensor fiber only.Published by Copernicus Publications on behalf of the AMA Association for Sensor Technology.

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“…The usage of microwave photonics (MWP) techniques [15] is a line of research that is attracting more and more attention from the research community. Several techniques have been presented and they proved to be able to retrieve the sensing information of point [16][17][18][19], multiplexed [10,11,[20][21][22][23][24] and distributed photonic sensors [25].…”

mentioning

confidence: 99%

Microwave Photonics Filtering Interrogation Technique Under Coherent Regime For Hot Spot Detection on a Weak FBGs Array

Hervás

Barrera

Madrigal

2018

J. Lightwave Technol.

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An interrogation technique of cascaded FBGs sensors based on a Microwave Photonics filtering technique under coherent regime is presented. The sensing information of a 5m fiber coil containing 500 weak FBGs with a similar central wavelength is retrieved. The FBGs are 9mm long and the spatial separation between consecutive FBGs is 1mm. The principle of operation is based on the calculation of the impulse response by recording the electrical frequency response of the system. Hot spot detection, location and temperature measurement are demonstrated by experimental measurements with a temperature sensitivity of 0.6dB/ºC in a 10ºC range. Fifteen measurements are recorded in order to average them to reduce noise and smooth the saw tooth appearance typical of coherent measurements. The resolution of the proposed interrogation technique is related to the bandwidth of the electrical measurement. We have obtained a resolution of 20 cm for an electrical bandwidth of 1 GHz. The SNR was larger than 16dB despite the fact that no amplification was used within the system.

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Model-based compressed sensing of fiber Bragg grating arrays in the frequency domain

Cited by 10 publications

References 4 publications

Model-Based Position and Reflectivity Estimation of Fiber Bragg Grating Sensor Arrays

Model-Based Position and Reflectivity Estimation of Fiber Bragg Grating Sensor Arrays

Combined distributed Raman and Bragg fiber temperature sensing using incoherent optical frequency domain reflectometry

Microwave Photonics Filtering Interrogation Technique Under Coherent Regime For Hot Spot Detection on a Weak FBGs Array

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