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Aliasing

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Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
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Updated: Apr 2, 2026

Wideband Optical Detector of Ultrasound for Medical Imaging Applications

Wideband Optical Detector of Ultrasound for Medical Imaging Applications

Published on: May 11, 2014

Robust broadband distributed acoustic sensing based on adaptive reference selection.

Jiazhen Ji, Jiageng Chen, Zhengyuan Xiao

|April 1, 2026

Summary

This summary is machine-generated.

This study introduces an adaptive compensation scheme for frequency-division-multiplexing distributed acoustic sensing (FDM DAS). It improves signal quality by selecting the best reference channel, enhancing spurious suppression and dynamic range over long distances.

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Last Updated: Apr 2, 2026

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Area of Science:

Optics and Photonics
Signal Processing
Geophysics

Background:

Distributed Acoustic Sensing (DAS) using frequency-division-multiplexing (FDM) is crucial for long-range monitoring.
Conventional FDM DAS compensation schemes suffer from coherent fading due to fixed reference frequencies.
Sensitivity and phase-offset mismatches degrade FDM DAS performance.

Purpose of the Study:

To develop a robust compensation scheme for broadband FDM DAS.
To overcome limitations of conventional FDM DAS compensation methods.
To enhance signal quality and spurious suppression in long-distance FDM DAS.

Main Methods:

Proposed a robust compensation scheme utilizing a switchable frequency channel as a reference.
Implemented adaptive reference selection among frequency components by constructing pulse pairs with different frequency combinations.
Enabled selection of the highest signal-to-noise ratio channel as the reference for compensation at each location.

Main Results:

Achieved a maximum spurious-suppression of 24.3 dB at 50 km under quiescent conditions.
Obtained a spurious-free dynamic range (SFDR) of 24.0 dB for a 3.5 kHz vibration signal.
Demonstrated consistently enhanced spurious-suppression along the entire 50 km sensing fiber.

Conclusions:

The proposed adaptive compensation scheme significantly improves FDM DAS performance.
The method effectively compensates for sensitivity and phase-offset mismatches.
This approach offers robust and enhanced spurious suppression for broadband FDM DAS applications.