Implications of C/A code cross correlation on GPS and GBAS

Zhen Zhu, F. van Graas
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引用次数: 4

Abstract

This paper presents a systematic discussion on GPS C/A code cross correlation and its impact on signal acquisition, tracking and Ground-Based Augmentation System (GBAS) performance. Three types of cross correlation effects are investigated: 1) between two satellites that have approximately the same Doppler frequency; 2) between two satellites that have an offset at an integer number of kHz in Doppler frequency; 3) between a C/A code signal and a signal that consists of alternating zeros and ones. The first type of cross correlation has been well studied in the past decade, and its impact is often found similar to that of multipath. There exist some subtle, but important, differences between cross correlation and multipath, which will be discussed in this paper. Cross correlation cannot be treated as a random interference source, since it is inherently constrained by the Doppler frequency difference between the two satellites. Based on this constraint, the cross correlation functions will be analytically modeled in the time domain and in the frequency domain for each of the three types. All three types of cross correlation are potential threats to weak signal acquisition, PseudoRange tracking and carrier phase tracking. There are impacts on both mobile users and ground reference stations. More specifically, the PseudoRange tracking error will likely not be common between a ground reference and a mobile user, which becomes a concern for differential systems like GBAS. The PseudoRange error is not only a function of the Doppler offset and signal strength, but is also dependent on the tracking loop configuration. For example, the relative motion between the satellites and the antenna, the tracking loop bandwidth, coherent integration time and the carrier smoothing time constant all play key roles in the PseudoRange error model. It has been discovered in previous studies that a sufficiently large time constant in carrier smoothing provides effective mitigation for cross correlation errors. Most GPS users are protected against cross correlation in signal acquisition and tracking. In some worst-case scenarios, however, meter-level PseudoRange errors in GBAS may occur. As a result, cross correlation must be carefully monitored for high-accuracy safety of life applications. It can also falsely trigger other GBAS monitors, which may include the low power monitor and the signal deformation monitor. An overview of the implications of cross correlation on GBAS is provided in this paper.
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C/A码相互关对GPS和GBAS的影响
本文系统地讨论了GPS C/ a码相互关及其对信号采集、跟踪和地基增强系统(GBAS)性能的影响。研究了三种类型的互相关效应:1)具有近似相同多普勒频率的两颗卫星之间;2)在多普勒频率上具有整数kHz偏移的两颗卫星之间;3)在C/ a码信号和由0和1交替组成的信号之间。在过去的十年中,人们对第一种互相关进行了很好的研究,其影响通常与多径相似。在互相关和多径之间存在着一些微妙但重要的区别,本文将对此进行讨论。不能将相互关联视为随机干扰源,因为它受到两颗卫星之间多普勒频率差的固有约束。基于这一约束,将在时域和频域对这三种类型的相互关联函数进行解析建模。这三种类型的互相关都是对弱信号采集、伪距跟踪和载波相位跟踪的潜在威胁。对流动用户和地面参考站都有影响。更具体地说,在地面参考和移动用户之间,伪橙跟踪错误可能不常见,这成为像GBAS这样的差分系统的关注点。伪距误差不仅是多普勒偏移量和信号强度的函数,而且还依赖于跟踪环路的配置。例如,卫星与天线之间的相对运动、跟踪环路带宽、相干积分时间和载波平滑时间常数都是影响伪橙误差模型的关键因素。在以往的研究中已经发现,在载波平滑中,足够大的时间常数可以有效地缓解相互关联误差。大多数GPS用户在信号采集和跟踪中都受到互相关的保护。然而,在一些最坏的情况下,可能会出现GBAS中的米级伪橙错误。因此,必须仔细监测相互关系,以实现高精度的生命安全应用。它也可以误触发其他GBAS监视器,其中可能包括低功耗监视器和信号变形监视器。本文概述了相互关系对GBAS的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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