Integrated Optical Chip With Low-Loss Waveguide Coupler for Miniaturized Fiber Optic Gyroscopes

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Wenbin Chen;Xuechen Zhang;Yongkang Yang;Baiang Qu;Hongjie Guo;Xingyu Yang;Yali Zhao;Yingchun Cao;Wentao Guo;Manqing Tan
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Abstract

We present an integrated optical chip (IOC) featuring a low-loss and compact waveguide coupler for miniaturized interferometric fiber optic gyroscopes (IFOGs). The IOC integrates a superluminescent diode (SLD), photodiode (PD), integrated coupler chip (ICC), and trans-impedance amplifier (TIA) within a compact 28 mm2 footprint, significantly reducing the size, weight, and cost compared to conventional discrete modules. The gyroscope prototype based on this IOC achieves bias stability of 0.039°/h, bias instability of 0.0233°/h, and an angular random walk (ARW) coefficient of 0.00549°/ $\mathrm{h}^{\text {1/2}}$ over a 100-s integration time. This integration strategy offers a high-precision, space-saving solution for tactical-grade applications, such as autonomous aerial vehicles (AAVs) and compact navigation systems, representing a significant breakthrough in the integration of fiber-optic gyroscopes.
小型光纤陀螺仪用低损耗波导耦合器集成光芯片
我们提出了一种集成光学芯片(IOC),具有低损耗和紧凑的波导耦合器,用于小型化干涉光纤陀螺仪(IFOGs)。IOC集成了超发光二极管(SLD)、光电二极管(PD)、集成耦合器芯片(ICC)和反阻抗放大器(TIA),占地面积为28 mm2,与传统的分立模块相比,显著减小了尺寸、重量和成本。基于该IOC的陀螺仪样机在100秒的积分时间内实现了0.039°/h的偏置稳定性和0.0233°/h的偏置不稳定性,角随机游走(ARW)系数为0.00549°/ $\ mathm {h}^{\text{1/2}}$。这种集成策略为战术级应用(如自主飞行器(aav)和紧凑型导航系统)提供了高精度、节省空间的解决方案,代表了光纤陀螺仪集成的重大突破。
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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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