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作 者:肖巍巍 XIAO Weiwei(Department of Mathematics and Computer Science,Guangxi Science&Technology Normal University,Laibin Guangxi 546199,China)
出 处:《激光杂志》2020年第2期87-91,共5页Laser Journal
基 金:广西自然科学基金(No.2016GXNSFAA380102)
摘 要:为确保光纤通信高效运行,深入研究光纤通信的光缓存负载状态识别系统设计过程,采用光发射机通过光纤向光纤通信网络中发射已经调制的光信号,数据采集模块采集光纤通信网络中光通信信号传输至数据解析模块中,提取通信数据中光缓存数据发送至光缓存数据流辨认模块,辨别光缓存数据是否存在异常,将异常光缓存数据传输至负载状态识别模块,通过支持向量机分类方法完成光缓存负载状态的有效识别。仿真结果表明,该识别系统可有效识别光纤通信中光缓存负载状态,在不同带宽、不同发送数据包频率以及不同噪声干扰下,可高精度、高效率识别光纤通信的光缓存负载状态。In order to ensure the efficient operation of optical fiber communication,the design process of optical buffer load identification system for optical fiber communication is deeply studied.Optical transmitter is used to transmit modulated optical signals to optical fiber communication network through optical fiber.Data acquisition module collects optical communication signals in optical fiber communication network and transmits them to data analysis module to extract optical buffer data from communication data and send them to optical buffer number and distinguishes wheth・er there is an exception in the optical buffer data according to the flow identification module.The abnormal optical buffer data is transmitted to the load state identification module.The effective identification of the optical buffer load state is completed by the support vector machine classification method.The simulation results show that the identification system can effectively identify the optical buffer load state in optical fiber communication.Under different band・width,different frequency of sending data packets and different noise interference,it can identify the optical buffer load state in optical fiber communication with high accuracy and efficiency.
关 键 词:光纤通信 光缓存 负载状态 识别系统设计 超平面 支持向量机
分 类 号:TN929[电子电信—通信与信息系统]
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