Improvement of Dynamic Range in a Time-Division Multiplexing-Based Linear Sagnac Interferometric Sensor System

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Kun Jia;Lai Zhang;Yixiao Ma;Xin Lai;Pengwei Zhou;Hongyan Wu;Qian Xiao;Bo Jia
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Abstract

An auxiliary optical structure and an improved $3\times 3$ fiber coupler phase demodulation algorithm are proposed to enhance the dynamic range (DR) of a time-division multiplexing (TDM)-based linear Sagnac interferometer (LSI) sensing system. The auxiliary optical structure is constructed to remove dc pulses caused by time delay fiber (TDF) in the LSI system, resulting in a 5.5-dB improvement in the system’s DR. Based on this, the demodulation algorithm is improved by considering the characteristics of the new system, allowing for the real-time acquisition of the difference between the maximum and minimum values of the two interfering signals. The small-signal phase demodulation distortion problem present in traditional algorithms is overcome, leading to a further 9-dB improvement in DR. In addition, the frequency response of different branches is tested, and the experimental results show that consistent frequency responses are observed across all branches. The proposed new TDM interferometric system can be further integrated with wavelength-division multiplexing (WDM) technology, offering potential application prospects in acoustic source localization, multibranch perimeter security, and oil pipeline leakage monitoring.
改进基于时分复用技术的线性萨格纳克干涉传感器系统的动态范围
为了提高基于时分复用(TDM)的线性萨格纳克干涉仪(LSI)传感系统的动态范围(DR),我们提出了一种辅助光学结构和一种改进的 3/3times 3$ 光纤耦合器相位解调算法。通过构建辅助光学结构来消除 LSI 系统中由时延光纤(TDF)引起的直流脉冲,从而使系统的 DR 提高了 5.5 分贝。在此基础上,考虑到新系统的特点,对解调算法进行了改进,从而可以实时获取两个干扰信号的最大值和最小值之差。克服了传统算法中存在的小信号相位解调失真问题,使 DR 值进一步提高了 9 分贝。此外,还测试了不同分支的频率响应,实验结果表明,所有分支的频率响应一致。所提出的新 TDM 干涉测量系统可进一步与波分复用(WDM)技术相结合,为声源定位、多分支周边安全和石油管道泄漏监测提供了潜在的应用前景。
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来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
期刊介绍: The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice
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