Delay-Line-Free Multi-Channel Chaotic Correlation Fiber Loop Ring Down Sensing

We propose and demonstrate a delay-line-free multi-channel chaotic correlation fiber loop ring down sensing based on time division multiplexing. The factors on the number of multiplexing channels are analyzed, such as the coupling ratio of the fiber coupler, the length of the fiber loop cavity, the length of the signal delay line, and the sampling time of date process system. The feasibility and stability of the demodulation for the multiplexing chaotic signals with delay-line-free are analyzed theoretically. The results show that the proposed chaotic signal demodulation with delay-line-free can reduce the impact of sampling time of date process system and achieve the maximum multiplexing number of the multi-channels in the fiber loop system. To verify the feasibility of the chaotic signal demodulation with delay-line-free, the four-channel chaotic correlation fiber loop ring down sensing is demonstrated experimentally. The peak finding and signal separation algorithm are used to identify the peak of the correlation coefficient of the multiplexing chaotic signals with delay-line-free. The Levenberg-Marquardt algorithm was used to fit the fiber loop ring down curves. The delay-line-free multi-channel fiber loop ring down system can improve the sampling accuracy of effective data points and increase the number of multiplexing channels. The signal demodulation of different channels does not interfere with each other in the external environment. The proposed multi-channel chaotic fiber loop sensing system with delay-line-free has the high multiplexing capacity and accuracy.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Instrumentation and Measurement
Published
2025-01-01
DOI
https://doi.org/10.1109/tim.2025.3604148
Primary Topic
Chaos control and synchronization
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Delay-Line-Free Multi-Channel Chaotic Correlation Fiber Loop Ring Down Sensing

Yanqiang Bai, M. Wang, Juanfen Wang, Xiaomin Fu et al.
IEEE Transactions on Instrumentation and Measurement
Chaos control and synchronization
article

Delay-Line-Free Multi-Channel Chaotic Correlation Fiber Loop Ring Down Sensing

Yanqiang Bai, M. Wang, Juanfen Wang, Xiaomin Fu, Bowei Zeng, Xiaohui Chen, Qi Jin, Lingzhen Yang, Xianwei Pan, Yisong Li
article en

Abstract

We propose and demonstrate a delay-line-free multi-channel chaotic correlation fiber loop ring down sensing based on time division multiplexing. The factors on the number of multiplexing channels are analyzed, such as the coupling ratio of the fiber coupler, the length of the fiber loop cavity, the length of the signal delay line, and the sampling time of date process system. The feasibility and stability of the demodulation for the multiplexing chaotic signals with delay-line-free are analyzed theoretically. The results show that the proposed chaotic signal demodulation with delay-line-free can reduce the impact of sampling time of date process system and achieve the maximum multiplexing number of the multi-channels in the fiber loop system. To verify the feasibility of the chaotic signal demodulation with delay-line-free, the four-channel chaotic correlation fiber loop ring down sensing is demonstrated experimentally. The peak finding and signal separation algorithm are used to identify the peak of the correlation coefficient of the multiplexing chaotic signals with delay-line-free. The Levenberg-Marquardt algorithm was used to fit the fiber loop ring down curves. The delay-line-free multi-channel fiber loop ring down system can improve the sampling accuracy of effective data points and increase the number of multiplexing channels. The signal demodulation of different channels does not interfere with each other in the external environment. The proposed multi-channel chaotic fiber loop sensing system with delay-line-free has the high multiplexing capacity and accuracy.

IEEE Transactions on Instrumentation and MeasurementVol. 74
Taiyuan University of Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 82%
Chaos control and synchronization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.