光储备池通感一体通信噪声抑制方案(封面文章·特邀)  

Research on noise suppression in integrated communication and sensing with photonic reservoir computing (cover paper·invited)

作　　者：裴丽[1] 左晓燕 白冰 王建帅[1] 宁提纲[1] 李晶[1] 郑晶晶[1] PEI Li;ZUO Xiaoyan;BAI Bing;WANG Jianshuai;NING Tigang;LI Jing;ZHENG Jingjing(Key Laboratory of All-Optical Networks and Modern Communication Networks of Ministry of Education,Beijing Jiaotong University,Beijing 100044,China;Photoncounts(Beijing)Technology Co.,Ltd.,Beijing 100016,China)

机构地区：[1]北京交通大学全光网络与现代通信网教育部重点实验室,北京100044 [2]光子算数(北京)科技有限责任公司,北京100016

出　　处：《红外与激光工程》2024年第6期1-8,共8页Infrared and Laser Engineering

基　　金：国家自然科学基金项目(62235003);北京交通大学自然科学人才基金项目(2023XKRC040)。

摘　　要：通感一体技术可利用已大范围铺设的光纤网实现智能传感,具备智能识别、信息融合优势。在同波长通感共传信道中,通感信号串扰及光纤传输噪声严重影响通信信号质量,需提升发射功率来保证低误码率,但增大了非线性噪声和功耗。提出了基于光储备池计算神经网络的通感共传信道通信失真均衡方法,搭建了信道均衡仿真系统,实现了低发射功率下前向通信信号噪声均衡。周期线性调频光和56 Gb/s四电平脉冲幅度调制信号分别用于分布式瑞利散射传感和数据通信。仿真结果表明,在5~14 dBm入纤功率时,与未均衡信号相比该方法可提供高于3个数量级以上的误码率优化。此方法在短距离模块间15~24 km光纤传输和0.5~2.0 GHz带宽线性调频感测脉冲下均实现了2个数量级以上的误码率下降。依托光储备池计算芯片的低能耗和低延时优势,该方法可为进一步提升通感一体系统中噪声抑制能力提供理论支撑。Objective Currently,two primary types of integrated communication and sensing systems exist,which are forward optical sensing and backward reflected optical sensing.The former faces limitations in sensing signal accuracy,the latter encounters nonlinear effects like four-wave mixing when communication and sensing signals occupy separate bands in dense wavelength division multiplexing systems.When both communication and sensing signals share the same frequency band,crosstalk becomes a significant issue.To maintain communication quality,higher input power is often utilized,leading to increased power consumption and nonlinear noise generation.To address these challenges,a noise equalizer is proposed,based on optical reservoir computing(PhRC)chips.The majority of computations are efficiently executed using silicon-based integrated optical devices,offering the dual advantages of reduced latency and expanded bandwidth.This innovative approach holds promise in enhancing the performance and reliability of integrated communication and sensing systems in modern optical fiber networks.Methods This article employs numerical simulation techniques to establish an integrated Rayleigh sensing and 56 Gb/s pulse amplitude modulation(PAM4)communication system(Fig.1).Both the communication and sensing signals utilize a common wavelength of 1550 nm.The sensing signal uses linear frequency modulation(LFM)modulation pulse with a pulse duration of 248μs.Initially,the sensing pulse is modulated using a modulator.Subsequently,an optical bandpass filter converts the signal into a single-sideband signal.Then,the PAM4 communication signal is modulated using the modulator and transmitted through an optical fiber.At the optical circulator,sensing signals are detected,while the receiver captures communication signals contaminated by crosstalk and noise.The simulation of the PhRC chip,weight training,as well as the computation of bit error rate(BER)and symbol error rate(SER),were executed using Python(Fig.2).Distorted communication signals are f

关 键 词：通感一体 光信号失真均衡 光子集成芯片 储备池计算 

分 类 号：TN913.7[电子电信—通信与信息系统]