城市环境中高阶BOC信号的明确跟踪:信道考虑

J. García-Molina, M. Navarro-Gallardo†, G. López-Risueño, M. Crisci
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引用次数: 10

摘要

在GNSS中使用BOC调制比BPSK调制提供了更好的代码跟踪精度,但代价是自相关函数中出现新的相关峰。对于高阶BOC调制,侧峰可能距离要跟踪的主相关峰只有几米远,因此存在锁定到其中一个峰的风险,从而导致伪距估计中的偏差。在恶劣的信道条件下,由于低C/No和多路径的存在,明确的跟踪可能很困难,这在衰落期间可能会产生相关影响,因此假锁定的概率可能特别重要。本文介绍了在设计和评估高阶BOC信号的明确跟踪技术时应考虑的典型信道条件,重点是在城市环境中,接收器即使在低C/No下也可能需要跟踪信号。提出了对城市环境中一些最先进技术的初步评估,显示了一些技术的局限性,这些技术的设计考虑了通常在开放天空环境中存在的非常温和的传播条件。然后提出了多相关器方法,作为克服基于传统GNSS接收器架构的技术局限性的一种可能方法。在这种情况下,明确的跟踪问题被提出为非线性最小二乘成本函数的最小化,并讨论了一些设计方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Unambiguous tracking of high-order BOC signals in urban environments: Channel considerations
The usage of BOC modulations in GNSS provides a better code tracking accuracy than BPSK modulation at the cost of new correlation peaks appearing in the autocorrelation function. For high-order BOC modulations side peaks might be only few meters away from the main correlation peak to be tracked, so there is a risk to lock into one of those peaks, inducing therefore a bias in the pseudorange estimation. The probability of false lock can be in particular important in harsh channel conditions, where the unambiguous tracking can be difficult due to the low C/No and the presence of multipath, which impact can be relevant during fading periods. This paper presents typical channel conditions that should be considered in the design and assessment of unambiguous tracking techniques of high-order BOC signals, focusing in urban environments where the receiver might need to track the signal even at low C/No. A preliminary assessment of some state-of-the-art techniques in urban environments is presented, showing the limitations of some of the techniques, which have been designed considering very mild propagation conditions typically present in open sky environments. The multi-correlator approach is then presented as a possible way to overcome the limitations of techniques based on legacy GNSS receiver architectures. In this case the unambiguous tracking problem is presented as the minimization of a non-linear Least Squares cost function subject to restrictions and some design alternatives are discussed.
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