基于Walsh序列的云传输广播网的扩频编码

发布时间：2018-06-16 19:49

本文选题：单频网 + 云传输　；参考：《清华大学学报(自然科学版)》2014年04期

【摘要】：在宽带地面数字广播领域,单频网(single frequency network,SFN)由于具有更高的频谱效率而逐渐替代多频网(multi-frequency network,MFN)成为实际系统布网的首选。但随着移动业务的增长、城市楼宇环境的日趋复杂,传统SFN内容单一、交叠区域信号衰减剧烈的弊端也限制着它的进一步应用。新近提出的云传输SFN由于简单的组网规范、灵活的传输体制以及更高的频率复用率而引起广泛的重视。云传输网络负的信号接收门限保证了两基站重叠区域强回波信道下系统的性能。该文针对云传输体制部署时面临的多基站重叠的挑战,提出一种基于Walsh序列扩频的编码方案,并分析了交叠区域以及叠加多业务后的系统性能,仿真表明:该方案在抗多径和多业务传输方面符合云传输广播网的组网要求,并有实现简单、兼容性好的特点,可同时满足下一代数字广播网高清传输与支持移动的需求,具有良好的应用前景。
[Abstract]:In the field of broadband terrestrial digital broadcasting, single frequency network SFN (single frequency network) has gradually replaced multi-frequency network (MFN) as the first choice for practical system because of its higher spectral efficiency. However, with the growth of mobile services and the increasingly complex environment of urban buildings, the traditional SFN content is single and the overlapping region signal is decaying sharply, which also limits its further application. Recently proposed cloud transmission SFN has attracted wide attention due to its simple networking specification flexible transmission system and higher frequency reuse rate. The negative threshold of signal reception in cloud transmission networks ensures the performance of the system in strong echo channels where two base stations overlap. Aiming at the challenge of multi-base station overlap when cloud transmission system is deployed, this paper proposes a coding scheme based on Walsh sequence spread spectrum, and analyzes the system performance of overlapped region and superimposed multi-service. Simulation results show that the scheme meets the network requirements of cloud transmission network in anti-multipath and multi-service transmission, and has the characteristics of simple implementation and good compatibility. It can meet the needs of high-definition transmission and mobile support of the next generation digital broadcasting network. It has good application prospect.
【作者单位】：清华大学电子工程系清华信息科学与技术国家实验室北京数字电视国家工程实验室;
【基金】：国家自然科学基金资助项目(61271266) 国家“八六三”高技术项目(2012AA011704)
【分类号】：TN934.3

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