Quadrature Signal Extraction by Current Modulation in Self-Mixing Interferometry for Displacement Sensing

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Hanqiao Chen;Shuangxi Zhang;Xiaohan Mao;Desheng Zhu;Xiong Zheng;Zhipeng Dong;Xiulin Wang;Wencai Huang
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引用次数: 0

Abstract

This article proposes a method for generating quadrature self-mixing interference (SMI) signals using the current modulation for real-time displacement sensing. By applying a square-wave current to a semiconductor laser, periodically phase-modulated SMI signals are produced at a certain distance. Subsequently, a pair of quadrature SMI signals is obtained by separately sampling at the high and low levels of the square-wave signal, followed by an interpolation process. Finally, the target’s motion displacement is reconstructed by quadrature phase unwrapping algorithm. The method demonstrates excellent robustness, achieving reconstruction accuracy better than 20 nm under 7-dB Gaussian noise in simulation. Experiments for both sinusoidal vibrations and nonharmonic moving targets are conducted, with a displacement reconstruction error of 22.3 nm. This method does not require any additional optical components to produce phase modulation, significantly reducing system complexity and cost. Furthermore, this article analyzes the algorithm’s applicability under different distances, current modulation coefficients, and modulation voltages, providing a reference for the application of current modulation methods in SMI displacement measurements.
在自混合干涉测量法中通过电流调制提取正交信号用于位移传感
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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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