Achieving Noise Suppression of Multichannel Lock-In Amplifier Based on Signal Segmentation

This study proposes a multi-channel signal-segmented lock-in amplifier (LIA) for suppressing co-frequency noise and processing signals containing local anomalies. Signal-segmented LIAs can counteract the interference caused by cofrequency noise in different signal segments, preventing the superimposition of co-frequency noise at different times in the input signal, which ultimately reduces its impact on the output. A module for detecting localized anomalous signal-s was incorporated into the LIA, enhancing its anti-interference capability. Through simulation, the mean square error (MSE) of the outputs from the signal-segmented LIA and the conventional softwareimplemented lock-in amplifier (SILIA) were compared, validating the effectiveness of signal segmentation. Furthermore, an eddy current magneto-optic (ECMO) non-destructive testing (NDT) system with signal-segmented LIA was developed for detecting defects in weakly conductive materials carbon fiber reinforced polymer (CFRP). Comprehensive experiments demonstrated that the signal-segmented LIA significantly suppressed co-frequency noise interference in its output compared to the traditional SILIA and exhibited superior anti-interference to localized anomalous signals. These results further validate the efficacy of the signal segmentation approach.

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Publication Details

Journal
IEEE Transactions on Instrumentation and Measurement
Published
2025-01-01
DOI
https://doi.org/10.1109/tim.2025.3568075
Primary Topic
Analog and Mixed-Signal Circuit Design
Type
article
Field-Weighted Citation Impact
0.00

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article

Achieving Noise Suppression of Multichannel Lock-In Amplifier Based on Signal Segmentation

Jiangshan Ai, Kun Lun Xu, Li Wang, Peng Li et al.
IEEE Transactions on Instrumentation and Measurement
Analog and Mixed-Signal Circuit Design
article

Achieving Noise Suppression of Multichannel Lock-In Amplifier Based on Signal Segmentation

Jiangshan Ai, Kun Lun Xu, Li Wang, Peng Li, D. Chai, Jin Shi
article en

Abstract

This study proposes a multi-channel signal-segmented lock-in amplifier (LIA) for suppressing co-frequency noise and processing signals containing local anomalies. Signal-segmented LIAs can counteract the interference caused by cofrequency noise in different signal segments, preventing the superimposition of co-frequency noise at different times in the input signal, which ultimately reduces its impact on the output. A module for detecting localized anomalous signal-s was incorporated into the LIA, enhancing its anti-interference capability. Through simulation, the mean square error (MSE) of the outputs from the signal-segmented LIA and the conventional softwareimplemented lock-in amplifier (SILIA) were compared, validating the effectiveness of signal segmentation. Furthermore, an eddy current magneto-optic (ECMO) non-destructive testing (NDT) system with signal-segmented LIA was developed for detecting defects in weakly conductive materials carbon fiber reinforced polymer (CFRP). Comprehensive experiments demonstrated that the signal-segmented LIA significantly suppressed co-frequency noise interference in its output compared to the traditional SILIA and exhibited superior anti-interference to localized anomalous signals. These results further validate the efficacy of the signal segmentation approach.

IEEE Transactions on Instrumentation and MeasurementVol. 74
Chengdu University of Information Technology (CN), Henan University of Technology (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 91%
Analog and Mixed-Signal Circuit Design
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