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Analyzing Code Tracking Algorithms for Galileo Open Service Signal

机译:分析伽利略开放服务信号的代码跟踪算法

摘要

The ever-increasing public interest on location and positioning services has originated a demand for higher performance Global Navigation Satellite Systems (GNSSs). Galileo Open Service (OS) signal, part of the European contribution to future GNSS, was designed to respond to the above demand. In all GNSSs, the estimation with high accuracy of the Line-Of-Sight (LOS) delay is a prerequisite. The Delay Lock Loops (DLLs) and their enhanced variants (i.e., feed-back code tracking loops) are the structures of choice for the commercial GNSS receivers, but their performance in severe multipath scenarios is still rather limited. In addition, the new satellite positioning system proposals specify the use of a new modulation, the Binary Offset Carrier (BOC) modulation, which triggers a new challenge in the code tracking stage. Therefore, in order to meet this emerging challenge and to improve the accuracy of the delay estimation in severe multipath scenarios, this thesis analyzes feed-back as well as feed-forward code tracking algorithms and proposes a novel algorithm, namely Peak Tracking (PT), which is a combination of both feed-back and feed-forward structures and utilizes the advantages inherent in these structures. In this thesis, the code tracking algorithms are studied and analyzed for Sine BOC (SinBOC) modulated Galileo OS signal for various multipath profiles in Rayleigh fading channel model. The performance of the analyzed algorithms are measured in terms of various well-known criteria such as Root-Mean-Square-Error (RMSE), Mean-Time-to-Lose Lock (MTLL), delay error variance and Multipath Error Envelopes (MEEs). The simulation results show that the proposed PT algorithm outperforms all other analyzed algorithms in various multipath profiles in good Carrier-to-Noise-Ratios (CNRs). The simulation results are compared with the theoretical Cramer-Rao Bound (CRB) and the comparison shows that the delay error variance for PT algorithm approaches the theoretical limit with the increase in CNR. Therefore, the proposed algorithm can be considered as an excellent candidate for implementation in future Galileo receivers, especially when tracking accuracy is a concern. /Kir11
机译:公众对定位和定位服务的兴趣日益增长,这引发了对更高性能的全球导航卫星系统(GNSS)的需求。伽利略开放服务(OS)信号是欧洲对未来GNSS的贡献之一,旨在满足上述需求。在所有GNSS中,必须以高精度的视线(LOS)延迟进行估算。延迟锁定循环(DLL)及其增强的变体(即反馈代码跟踪循环)是商用GNSS接收器的选择结构,但是它们在严峻的多径情况下的性能仍然受到限制。另外,新的卫星定位系统建议书指定使用新的调制方式,即二进制Oset载波(BOC)调制方式,这在代码跟踪阶段引发了新的挑战。因此,为了应对这一新兴挑战并提高严重多径场景下延迟估计的准确性,本文分析了反馈以及前馈代码跟踪算法,并提出了一种新的算法,即峰值跟踪(PT)。 ,它既是反馈结构又是前馈结构的组合,并利用了这些结构固有的优势。在本文中,针对瑞利衰落信道模型中各种多径配置文件的正弦BOC(SinBOC)调制Galileo OS信号,研究了代码跟踪算法。根据各种众所周知的标准(例如,均方根误差(RMSE),均值丢失时间锁定(MTLL),延迟误差方差和多径误差包络(MEE))来衡量分析算法的性能。 )。仿真结果表明,所提出的PT算法在良好的载噪比(CNR)下,在各种多径曲线中均优于所有其他分析算法。仿真结果与理论Cramer-Rao Bound(CRB)进行了比较,结果表明PT算法的延迟误差方差随着CNR的增加而接近理论极限。因此,所提出的算法可以被认为是在未来的伽利略接收机中实现的极好的候选者,尤其是在跟踪精度受到关注的情况下。 / Kir11

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