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GSM/GSM-R网络干扰检测技术研究与实现
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摘要
在铁路轨道交通控制中,无线通信平台是指挥列车运行、组织运输生产及进行公务联络等的重要基础。随着移动通信技术的飞速发展,GSM-R专用移动通信系统在铁路跨越式发展中扮演着越来越重要的角色,已成为铁路通信发展的方向,然而随着电磁环境越来越复杂,干扰问题越来越受到人们的重视。干扰的大小是影响网络运行的关键因素,对通话质量、掉话、切换、拥塞均有显著影响。如何降低或消除干扰是网络规划、优化的重要任务。本论文研究了GSM/GSMR网络系统中的多种干扰的检测方法并设计了基于路测的干扰检测系统。
     第一章简要介绍了GSM-R网络的发展状况,强调了干扰分析在网络优化中的重要性和迫切性;
     第二章对GSM-R系统中不同来源的干扰进行了分类讨论,分析了相应的产生原理,危害以及一些防护措施,主要研究了系统内部干扰;
     第三章研究了电磁仿真的理论依据以及一些干扰检测的算法,并介绍的一个强大的频谱管理软件;
     第四章讨论了基于统计各种网络性能参数的干扰检测方法;
     第五章重点研究了路测中的干扰检测方法,详细描述了其设计原理,检测算法和实现技术;
     第六章对全文进行总结,提出以后应该研究的方向。
In the rail traffic control, Wireless communication platform is an important base to administer the operation of train and organize the transport. With the rapid progress of mobile communication, dedicated communication system for railway~GSM-R plays a more and more important role in the development of the railway, and is becoming the derection of the railway communication. As the electromagnetic environment become more and more complicated, interference problem have to be paid more attention on. Interference is a key issue in the construction of a GSM network, it has great influence over the network performance. How to reduce the interference is a most important task in the network optimization. This paper covers some related technology of GSM interference detecting and the implement of a driver test tool.
     In the First chapter, a brief introduction about GSM-R development is given, and the importance of the interference detecting during the network optimizing is demonstrated.
     In Chapter 2, discussion of different types of interference is presented with elaborating the cause of the interference and some methods to prevent it, mainly about intra-system interference.
     Chapter 3 is about the principle of electromagnetic simulation, the related interference detecting technology is introduced, and a spectrum management software is showed as an example.
     The interference detecting basing on the QoS statistic is introduced in Chapter 4.
     Chapter 5 is about the interference detecting in driver test. the detecting algorithm and related implement technology are described in detail.
     The last chapter gives a summary, ending with a brief sight into the future research.
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