先进卫星导航系统信号互相关干扰特性分析方法研究

项目名称： 先进卫星导航系统信号互相关干扰特性分析方法研究

项目编号： No.61203226

项目类型： 青年科学基金项目

立项/批准年度： 2013

项目学科： 自动化学科

项目作者： 张建军

作者单位： 中国空间技术研究院

项目金额： 23万元

中文摘要： 全球卫星导航系统(GNSS)是GPS、GLONASS、GALILEO和COMPASS系统的总称，随着上述全球卫星导航系统更新建设进程的推进，以及日本QZSS、印度IRNSS等区域卫星导航系统的增加，国际电报联盟能够分配的卫星无线电导航业务频段已经非常短缺，不同卫星导航系统信号间存在部分频谱重叠已是不可避免。在这一背景下，评估卫星导航系统信号之间的互相关干扰特性是一项十分重要的课题。本项目根据卫星导航系统信号捕获、载波跟踪、数据解调和码跟踪的特性，分析推导卫星导航系统信号互相关干扰影响时信干噪比和码跟踪误差的解析式，提出基于频谱隔离系数的等效载噪比评估方法，针对码长、码速率、子载波调制方式等参量，分析频谱隔离系数对等效载噪比的影响，根据评估方法，研究Compass系统与GNSS系统的互相关干扰评估特性，针对GNSS系统互相关干扰问题，给出GNSS系统互相关干扰的抑制的解决方案。

中文关键词： 全球卫星导航系统；系统内干扰；系统间干扰；频谱隔离系数；

英文摘要： Global Navigation Satellite System (GNSS) is the general term for GPS, GLONASS, GALILEO and COMPASS systems. With the advancement of the global satellite navigation system updates the process of building, and increase of regional satellite navigation system, like Japanese QZSS, India IRNSS, the band of satellite radio navigation service distributed by the International Telegraph Union has been very short. Therefore, the spectrum overlap between different satellite navigation system signal is inevitable. In this context, assess the cross correlation interference features between the satellite navigation system signals is a very important issue. In this project, based on the signal capture, carrier tracking, data demodulation and code tracking characteristics of the satellite navigation system, the analytical formula of signal to interference noise ratio and the code tracking error of the satellite navigation system signal with cross correlation interference is analyzed and derived, and the equivalent carrier to noise assessment method based on the spectral isolation coefficient is proposed. For the parameters of the code length, code rate, sub-carrier modulation method, the influence of spectrum isolation coefficient on equivalent CNR is analyzed, based on the evaluation method, the cross correlation interf

英文关键词： Global Navigation Satellite System；Intersystem Interference；Intrasystem Interference；Spectral Separation Coefficient；