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作 者:王健璋 WANG Jianzhang(Hailar 861 Station,Inner Mongolia Radio and Television Transmission and Transmission Center,Hulunbuir 021008,China)
机构地区:[1]内蒙古广播电视传输发射中心海拉尔861台,内蒙古呼伦贝尔021008
出 处:《电声技术》2024年第12期145-147,151,共4页Audio Engineering
摘 要:设计了一种基于人工智能(Artificial Intelligence,AI)技术的广播发射台信号源传输系统。重点阐述基于AI技术的系统设计方案。该系统采用模块化架构,涵盖智能信号处理、自适应路由调度、反馈学习优化模块。智能信号处理模块负责对信号进行降噪、滤波和编码,自动调整路由管理部分依据软件定义网络(Software Defined Network,SDN)架构规划传输路径,反馈学习优化模块收集用户数据以优化系统。最后,通过实验证实设计系统在传输时延、信噪比、误码率以及资源利用率等指标上均优于传统系统,具有良好的抗干扰能力。A signal source transmission system of broadcast transmitter based on Artificial Intelligence(AI) technology is designed.The system design scheme based on AI technology is emphasized.The system adopts modular architecture,covering intelligent signal processing,adaptive routing scheduling and feedback learning optimization modules.The intelligent signal processing module is responsible for noise reduction,filtering and coding of signals,the automatic route adjustment management part plans transmission paths according to the Software Defined Network(SDN) architecture,and the feedback learning optimization module collects user data to optimize the system.Finally,the experiment proves that the designed system is superior to the traditional system in transmission delay,signal-to-noise ratio,bit error rate and resource utilization,and has good anti-interference ability.
关 键 词:人工智能(AI)技术 广播发射台 信号传输
分 类 号:TN943[电子电信—信号与信息处理]
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