GNSS卫星导航系统干扰监测技术的研究

发布时间：2018-06-07 02:46

本文选题：全球导航卫星系统 + 干扰类型　；参考：《兰州交通大学》2017年硕士论文

【摘要】：全球导航卫星系统发展到现在,在各个领域都广泛的应用。随着无线电技术的快速发展,很多行业都被规划了特定的频段,另外一些民用产业擅自使用频段,造成如今的电磁环境非常复杂。相互之间造成的各种干扰,以及一些有意或者无意间的人为干扰对全球卫星导航系统的正常工作产生了很大的影响。研究干扰问题在全球卫星导航系统的领域中越来越受人重视,但是,由于我国在北斗系统方面的起步较晚,而国外又对干扰方面研究的部分资源加以保密,使得我国在该领域很多问题还在起跑阶段。本论文鉴于此主要做以下工作:首先,对全球卫星导航系统的组成、基本原理、信号易受干扰的因素等基本知识点进行了研究和分析。鉴于我国主要使用的卫星导航系统是GPS和北斗系统,文中主要讨论和介绍的导航系统是GPS和北斗系统。其次,主要针对干扰检测技术和干扰识别技术进行研究,对一般常见的基本干扰信号进行了研究,并在Matlab上对各种干扰信号进行了仿真,分析这些干扰信号的区别和一些特征参数,建立起相应的干扰数据集,方便在受到干扰时,可以快速、有效鉴别干扰信号的具体种类。最后,针对门限阈值的限定,本文提出了门限循环更新算法,可以提高低干噪比情况下的干扰检测效率。传统的干扰监测容易出现对干扰信号的漏警或者对非干扰信号过高虚警的问题,考虑到易出现的漏警以及虚警等问题,本文提出的双门限阈值并且结合门限循环更新,可以有效减少漏警率和降低虚警概率。Matlab仿真证明了该算法的正确性和可行性,提高了干扰监测的效率。
[Abstract]:Global Navigation Satellite system (GNSS) has been widely used in many fields. With the rapid development of radio technology, many industries have been planned a specific frequency band, other civil industries use frequency bands without authorization, resulting in a very complex electromagnetic environment today. All kinds of interference caused by each other, as well as some intentional or accidental human interference, have a great impact on the normal operation of global satellite navigation system. More and more attention has been paid to the study of jamming in the field of global satellite navigation system. However, due to the late start of Beidou system in China, some resources of jamming research are kept secret in foreign countries. Make our country in this field a lot of problems are still in the starting stage. The main work of this thesis is as follows: firstly, the basic knowledge of the global satellite navigation system, such as the composition, the basic principle, the interference factors and so on, are studied and analyzed. In view of the fact that the main satellite navigation system used in China is GPS and Beidou system, GPS and Beidou system are the main navigation systems discussed and introduced in this paper. Secondly, the interference detection technology and the interference identification technology are studied, and the common basic jamming signals are studied, and the various jamming signals are simulated on Matlab. By analyzing the difference of these interference signals and some characteristic parameters, the corresponding interference data set is established, so that the specific types of interference signals can be quickly and effectively identified in the event of interference. Finally, aiming at the threshold limitation, a threshold cyclic updating algorithm is proposed, which can improve the interference detection efficiency in the case of low signal-to-noise ratio. The traditional interference monitoring is prone to the problem of false alarm or high false alarm to the interference signal. Considering the problems such as false alarm and false alarm, the double threshold proposed in this paper is updated in combination with the threshold cycle. It can effectively reduce the false alarm rate and false alarm probability. MATLAB simulation shows that the algorithm is correct and feasible, and improves the efficiency of interference monitoring.
【学位授予单位】：兰州交通大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN967.1

【参考文献】