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基于SDH数字微波技术的广播电视信号模拟传输网络改造方法

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现行方法改造广播电视信号模拟传输网络后网络性能仍旧较差,在实践中网络误码率较高,而且广播电视信号模拟传输差错秒较长,无法达到预期改造效果。为此,文章提出基于同步数字体系(Synchronous Digital Hierachy,SDH)数字微波技术的广播电视信号模拟传输网络改造方法。利用智能无线Mesh自组网技术对广播电视信号模拟传输网络结构进行改造,将网络结构改造为由固定节点、分布节点以及终端用户节点组成,对网络配置进行优化,利用SDH数字微波技术对广播电视信号模拟传输信道均衡处理,实现基于SDH数字微波技术的广播电视信号模拟传输网络改造。实验证明,改造后广播电视信号模拟传输误码率显著降低,信号传输差错秒有效缩短,网络传输性能得到优化,网络改造效果良好。
Transformation method of broadcasting TV signal analog transmission network based on SDH digital microwave technology
The current method of broadcasting and television signal simulation transmission network network performance is still poor.The practice network error rate is high,and radio and television signal simulation transmission error second is long.It cannot achieve the desired effect.Therefor,the article proposes a method for thansforming the analog transmission network of broadcasting and television signals based on Synchronous Digital Hierachy(SDH)digital microwave technology.Using intelligent wireless Mesh ad hoc network technology of broadcast and television signal simulation transmission network structure transformation,the network structure is reformed into a fixed node,distribution node and end user node.The network configuration is optimized,using SDH digital microwave technology of broadcast television signal simulation transmission channel equilibrium,which realizes the broadcast and television signal simulation transmission network based on SDH digital microwave technology.The experiment has proved that the error rate of the broadcast TV signal analog transmission is effectively reduced,the signal transmission error second is effectively shortened,the network transmission performance is effectively optimized,and the network transformation effect is good.

SDH digital microwave technologybroadcast and television signalsanalog transmission networkintelligent wireless Mesh ad hoc network technologytransformation

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赤峰市融媒体中心,内蒙古 赤峰 024000

SDH数字微波技术 广播电视信号 模拟传输网络 智能无线Mesh自组网技术 改造

2024

无线互联科技
江苏省科学技术情报研究所

无线互联科技

影响因子:0.263
ISSN:1672-6944
年,卷(期):2024.21(24)