Technology Needs for Modular Pixel Detectors

Guerrini, N.

doi:10.1201/b20096-11

Cited by 1 publication

(1 citation statement)

References 51 publications

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“…Under the criteria that the step response of the filter should not distort the temporal response of the sensing system, the optimal RF filter bandwidth can also be theoretically estimated. For a BOTDA system with 10 m spatial resolution achieved by 100 ns pump pulse, the best noise performance with the lowest trace distortion is optimized with a filter rising time of 1/3×100≈33 ns [34]. Since the relationship between the bandwidth B and the rising time tr for a typical low pass filter is approximately tr·B≈0.35 [35], the optimal filter bandwidth can be calculated as 10 MHz, which shows very good agreement to our simulation as well as experimental results.…”

Section: Discussionmentioning

confidence: 99%

Measurement Accuracy Enhancement via Radio Frequency Filtering in Distributed Brillouin Sensing

Feng

Preußler

Kadum

et al. 2019

Sensors

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In this article, we demonstrate the noise reduction and signal to noise ratio (SNR) enhancement in Brillouin optical time-domain analyzers (BOTDA). The results show that, although the main noise contribution comes from the Brillouin interaction itself, a simple low pass filtering on the detected radio frequency (RF) signal reduces remarkably the noise level of the BOTDA traces. The corresponding SNR enhancement depends on the employed cut-off frequency of the low pass filter. Due to the enhancement of the SNR, a mitigation of the standard deviation error of the Brillouin frequency shift (BFS) has been demonstrated. However, RF filters with low cut-off frequency could lead to distortions on the trace signals and therefore detection errors on a non-uniform BFS. The trade-off between the noise reduction and the signal distortion as well as an optimal cut-off frequency are discussed in detail.

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