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基于AI技术的广播发射台信号源传输系统模块设计

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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.
Module Design of Signal Source Transmission System of Broadcasting Transmitting Station Based on AI Technology
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.

Artificial Intelligence(AI)technologybroadcasting transmitting stationsignal transmission

王健璋

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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

人工智能(AI)技术 广播发射台 信号传输

2024

电声技术
电视电声研究所(中国电子科技集团公司第三研究所)

电声技术

影响因子:0.259
ISSN:1002-8684
年,卷(期):2024.48(12)