OFDM-LFM无线光通信感知一体化系统及性能分析  

Enhanced Integration and Performance Analysis of Integrated OFDM-LFM Wireless Optical Communication and Sensing System

作　　者：曹明华[1] 周根学 杨清 张悦 张霞[2,3] 王惠琴 Cao Minghua;Zhou Genxue;Yang Qing;Zhang Yue;Zhang Xia;Wang Huiqin(School of Computer and Communication,Lanzhou University of Technology,Lanzhou 730050,Gansu,China;School of Physical Science and Information Engineering,Liaocheng University,Liaocheng 252000,Shandong,China;Shandong Key Laboratory of Optical Communication Science and Technology,Liaocheng 252000,Shandong,China)

机构地区：[1]兰州理工大学计算机与通信学院,甘肃兰州730050 [2]聊城大学物理科学与信息工程学院,山东聊城252000 [3]山东省光通信科学与技术重点实验室,山东聊城252000

出　　处：《光学学报》2025年第1期8-19,共12页Acta Optica Sinica

基　　金：国家自然科学基金(62265010,62261033);甘肃省自然科学基金(24JRRA183);山东省自然科学基金(ZR2022MF284)。

摘　　要：为了应对传统通感一体化系统在频谱需求和硬件实现成本上的挑战,设计了一种融合非对称限幅光正交频分复用与线性调频(LFM)技术的激光雷达通信感知一体化系统,实现了光通信和激光雷达测距的一体化。在此基础上,为解决传统限幅技术在降低峰均比(PAPR)时引入噪声的问题,提出了一种迭代限幅滤波方案,将系统PAPR降低了3.6 dB。仿真结果证明该系统在Gamma-Gamma弱、中湍流信道条件下具有稳定的传输速率和可靠的误码性能,不但成功探测到了80、100、1000、1300 m位置处的4个目标,且相较于采用单一的LFM系统,一体化系统的误码性能提升了4.2 dB,测距精度提高了40.7%,一体化系统的模糊函数的主瓣更加集中,旁瓣水平更低,整体呈现出“图钉”状,表明其具有更高的距离分辨率和多普勒容忍度。Objective Traditional integrated communication and sensing systems encounter substantial challenges regarding spectrum requirements and hardware implementation costs,especially when integrating optical communication and LiDAR technologies.Existing methods usually introduce additional noise while attempting to reduce the peak-to-average power ratio(PAPR),which can deteriorate system performance.Our research aims to design an integrated LiDAR communication and sensing system that combines asymmetric clipping optical orthogonal frequency division multiplexing(ACO-OFDM) and linear frequency modulation(LFM) techniques to realize the convergence of optical communication and LiDAR ranging.A new clipping technique is proposed to reduce PAPR without adding noise,thus improving the overall system performance.The research focuses on assessing the system's performance in terms of transmission rate,bit error rate(BER),and target detection and ranging capabilities under different turbulent channel conditions.Methods We present a framework for an integrated LiDAR communication and sensing system that combines ACOOFDM and LFM technologies.The system utilizes ACO-OFDM to achieve efficient optical communication and integrates LFM signals for accurate LiDAR ranging.To solve the problem of noise introduction in traditional clipping techniques when reducing PAPR,we propose an iterative scheme of clipping and filtering.This method gradually decreases PAPR through multiple iterations and effectively reduces noise introduction.The simulation employs a Gamma-Gamma weak and medium turbulence channel model to analyze the system's transmission rate and BER performance under various channel conditions.Additionally,the simulation evaluates the ranging capability of the integrated system by comparing its BER performance improvement and the enhanced ranging accuracy with a system using a single LFM signal.Results and Discussions By implementing the iterative clipping and filtering scheme,we effectively reduce the PAPR of the system by 3.6 dB(Fi

关 键 词：光无线通信感知一体化 误码率 峰均比 限幅滤波 模糊函数图 

分 类 号：TN929.12[电子电信—通信与信息系统]