Galileo卫星导航软件接收机关键技术的研究
发布时间:2018-05-11 18:15
本文选题:Galileo + 软件接收机 ; 参考:《电子科技大学》2015年硕士论文
【摘要】:随着时代的发展,卫星导航技术不断完善和进步,无论在民用领域或军事领域都体现越来越重要的作用。美国的GPS、中国的北斗、俄罗斯的GLONASS和欧洲的Galileo系统整合而实现组合导航已成为导航接收机的发展趋势。本文主要研究Galileo软件接收机的关键技术,并搭建了仿真平台,对捕获模块、跟踪模块、译码模块等关键技术进行了理论分析和仿真验证。本论文的主要工作包括:首先,本文对Galileo系统官方发布的资料进行了深入的讲解,包括E1信号和E5信号的结构等,E1信号采用了MBOC(6,1,1/11)的调制方式而E5信号采用AltBOC(15,10)的调制方式[1]。BPSK信号功率主要集中在主瓣内,而BOC信号却集中在两个旁瓣内,BOC调制方式实现了频谱搬移。其次,针对E1和E5信号的BOC调制方式的捕获、跟踪关键技术环节进行了理论分析和仿真。E1信号的捕获和跟踪采用了ASPeCT处理方法对相关函数做了一定改进,改进后的相关函数旁瓣能量明显变弱。而对E5信号则采用了单边带处理方式进行捕获和跟踪。然后,对卷积码编码方式进行了简单的介绍。Galileo信号采用了(2,1,6)卷积码的编码方式,本文通过Viterbi算法进行译码,并且进行了仿真验证,并同时验证了卷积码编码方式拥有一定的纠错能力。最后,简单介绍了Galileo信号解帧过程以及现在常用的定位算法。
[Abstract]:With the development of the times, satellite navigation technology has been improved and improved, which plays an increasingly important role in both civil and military fields. Integrated navigation has become the trend of navigation receiver by integrating GPS of America, Beidou of China, GLONASS of Russia and Galileo system of Europe. In this paper, the key technologies of Galileo software receiver are studied, and the simulation platform is built. The key technologies such as capture module, tracking module and decoding module are analyzed theoretically and verified by simulation. The main work of this paper includes: firstly, this paper explains the official data of Galileo system deeply. The structure of E1 signal and E5 signal are modulated by MBOC6 / 1 / 1 / 11) and E5 signal is modulated by AltBOC1510). The power of BPSK signal is mainly concentrated in the main lobe, while the BOC signal is concentrated in two sidelobe modulation modes to realize the spectrum shift. Secondly, aiming at the acquisition of E1 and E5 signals by BOC modulation, the key techniques of tracking are analyzed theoretically, and the acquisition and tracking of emulation. E1 signals are acquired and tracked. The correlation function is improved by using ASPeCT processing method. The side lobe energy of the improved correlation function is obviously weakened. The single sideband processing is used to capture and track the E5 signal. Then, the coding method of convolutional code is simply introduced. The coding mode of the convolutional code is introduced. The Viterbi algorithm is used to decode the convolutional code, and the simulation is carried out. At the same time, it is verified that convolutional code has a certain ability of correcting errors. Finally, the unframing process of Galileo signal and the commonly used localization algorithms are briefly introduced.
【学位授予单位】:电子科技大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:TN965.5
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本文编号:1875035
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