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光电融合集成与通信感知技术

闫连山 谢小军 陈建平 周林杰 裴丽 延凤平 岳洋 叶佳 邓雄 邹喜华 潘炜 祝宁华

闫连山, 谢小军, 陈建平, 周林杰, 裴丽, 延凤平, 岳洋, 叶佳, 邓雄, 邹喜华, 潘炜, 祝宁华. 光电融合集成与通信感知技术[J]. 西南交通大学学报, 2026, 61(3): 806-832. doi: 10.3969/j.issn.0258-2724.20260117
引用本文: 闫连山, 谢小军, 陈建平, 周林杰, 裴丽, 延凤平, 岳洋, 叶佳, 邓雄, 邹喜华, 潘炜, 祝宁华. 光电融合集成与通信感知技术[J]. 西南交通大学学报, 2026, 61(3): 806-832. doi: 10.3969/j.issn.0258-2724.20260117
YAN Lianshan, XIE Xiaojun, CHEN Jianping, ZHOU Linjie, PEI Li, YAN Fengping, YUE Yang, YE Jia, DENG Xiong, ZOU Xihua, PAN Wei, ZHU Ninghua. Multiplex Integration of Photonics & Electronics and Applications in Communication & Sensing[J]. Journal of Southwest Jiaotong University, 2026, 61(3): 806-832. doi: 10.3969/j.issn.0258-2724.20260117
Citation: YAN Lianshan, XIE Xiaojun, CHEN Jianping, ZHOU Linjie, PEI Li, YAN Fengping, YUE Yang, YE Jia, DENG Xiong, ZOU Xihua, PAN Wei, ZHU Ninghua. Multiplex Integration of Photonics & Electronics and Applications in Communication & Sensing[J]. Journal of Southwest Jiaotong University, 2026, 61(3): 806-832. doi: 10.3969/j.issn.0258-2724.20260117

光电融合集成与通信感知技术

doi: 10.3969/j.issn.0258-2724.20260117
基金项目: 国家重点研发计划(2019YFB1803500,2019YFB2203200,2021YFB2800900,2021YFB2801300,2022YFB2803800,2023YFB2804900,2024YFE0212100);国家自然科学基金项目(61335005,6243000320,62431024,U21A20507,U22A2089,U23A20376,U25A20524)
详细信息
    作者简介:

    闫连山(1971—),男,教授,研究方向为信息光电子,E-mail:lsyan@home.swjtu.edu.cn

  • 中图分类号: TN29;TN929.1

Multiplex Integration of Photonics & Electronics and Applications in Communication & Sensing

  • 摘要:

    随着宽带通信、人工智能以及卫星互联网等领域的快速发展,全球数据流量呈指数级增长,传统电子集成技术面临带宽、功耗与延迟的物理瓶颈. 光电融合集成技术通过“材料—器件—芯片—系统”全尺度的多维协同,突破电子技术在带宽、功耗的瓶颈,成为支撑下一代信息技术发展的关键使能技术. 本文系统综述光电融合集成技术的最新研究进展,首先阐述其概念内涵与发展趋势,探讨从链路系统到芯片级的精准仿真技术,并重点分析异质集成工艺、核心器件与系统级芯片的研究现状,进而深入讨论光电融合在高速通信与智能感知领域的应用,最后展望面向空天地一体化网络与AI算力集群的发展趋势,指出需攻克多物理场耦合极限、跨尺度制造一致性与智能化适配三大核心挑战,并提出分阶段突破路径,为6G全域覆盖与算力网络可持续发展提供战略参考.

     

  • 图 1  西南交通大学研发的有限元仿真软件

    Figure 1.  Finite element simulation software developed by Southwest Jiaotong University

    图 2  基于深度学习的光电混合链路建模方法示意

    Figure 2.  Optoelectronic hybrid link modeling method based on deep learning

    图 3  混合集成、异质集成和微转印技术工艺流程[1]

    Figure 3.  Process flow of hybrid integration, heterogeneous integration, and micro-transfer printing technologies[1]

    图 4  混合集成自注入锁定外腔激光器[43]

    Figure 4.  Hybrid integrated self-injection locked external cavity laser[43]

    图 5  紧凑型低半波电压电光调制器[50]

    Figure 5.  Compact electro-optic modulator with low half-wave voltage[50]

    图 6  薄膜铌酸锂异质集成光电探测器[52]

    Figure 6.  Heterogeneously integrated photodetector on thin-film lithium niobate[52]

    图 7  片上并行IM-DD数据传输系统[53]

    Figure 7.  On-chip parallel IM-DD data transmission system[53]

    图 8  薄膜铌酸锂异质集成光接收芯片[55]

    Figure 8.  Heterogeneously integrated optical receiver chip on thin-film lithium niobate[55]

    图 9  基于光子集成储备池芯片的全光储备池信道均衡系统[71]

    Figure 9.  All-optical reservoir channel equalization system based on photonic integrated reservoir chip[71]

    图 10  时空复用光子储备池计算架构原理[73]

    Figure 10.  Computing architecture principle of spatiotemporal multiplexed photonic reservoir[73]

    图 11  C + L波段跨洋大容量光纤通信系统[75]

    Figure 11.  High-capacity transoceanic optical fiber communication system in C + L band[75]

    图 12  混沌AI驱动的混沌保密相干光纤通信系统[76]

    Figure 12.  Chaos-AI-driven coherent optical fiber communication system with chaotic security[76]

    图 13  大容量光子太赫兹通信系统[83]

    Figure 13.  High-capacity photonic terahertz communication system[83]

    图 14  基于光学干涉的偏振复用光纤链路智能预校准方案[91]

    Figure 14.  Intelligent pre-calibration scheme for polarization-multiplexed optical fiber links based on optical interference[91]

    图 15  瞬态声波布里渊光时域传感器[94]

    Figure 15.  Brillouin optical time-domain sensor with transient acoustic wave[94]

    图 16  光纤中通信感知一体化原理示意[95]

    Figure 16.  Principle of communication-sensing integration in optical fibers[95]

    图 17  扩频雷达通信一体化系统示意以及实验实物图[96]

    Figure 17.  Schematic and experimental physical diagrams of integrated spread-spectrum radar communication system[96]

    图 18  光子辅助毫米波超分辨频分复用通感一体系统示意[101]

    Figure 18.  Integrated communication-sensing system based on photonic-assisted millimeter-wave super-resolution frequency-division multiplexing[101]

    图 19  基于时分复用的毫米波微波光子通信感知一体化系统原理[102]

    Figure 19.  Principle of integrated millimeter-wave microwave-photonic communication-sensing system based on time-division multiplexing[102]

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  • 收稿日期:  2025-03-10
  • 修回日期:  2026-04-20
  • 刊出日期:  2026-04-26

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