Noncoherent Code Discriminator Gains for Global Navigation Satellite System Signal Tracking

IF 3.1 3区地球科学 Q1 ENGINEERING, AEROSPACE

Navigation-Journal of the Institute of Navigation Pub Date : 2023-01-01 DOI:10.33012/navi.598

Ryan S. Cassel

引用次数: 0

Abstract

Many common discriminators used for code tracking of global navigation sat - ellite system (GNSS) signals are ratios of quadratic forms of the correlation outputs. Here we derive a general expression for the gain of this type of dis - criminator and show that it depends on the effective carrier-to-noise ratio. We then evaluate this expression for several different code discriminators and GNSS signals, including GPS C/A-code, P-code, L1C, and M-code, Galileo E1 OS, GLONASS L1OF and L2OF, and BeiDou B1I and B2I. We also determine how noise and interference saturate the discriminator (i.e., make its output less sen - sitive to changes in the input) and the resulting effect on loop bandwidth. The discriminator gains described in this paper compensate for the saturation and ensure that loop bandwidth and code tracking performance can be accurately predicted and controlled over a critical range of effective carrier-to-noise ratios.

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全球卫星导航系统信号跟踪的非相干码鉴别增益

许多用于全球导航卫星系统(GNSS)信号码跟踪的常用鉴别器是相关输出的二次型之比。这里我们推导出这类鉴别器增益的一般表达式，并表明它取决于有效的载波噪声比。然后，我们对几种不同的码鉴别器和GNSS信号进行了评估，包括GPS C/ a码、p码、L1C和m码、伽利略E1 OS、GLONASS L1OF和L2OF，以及北斗B1I和B2I。我们还确定了噪声和干扰如何使鉴别器饱和(即，使其输出对输入的变化不那么敏感)以及由此产生的环路带宽影响。本文中描述的鉴别器增益补偿了饱和，并确保环路带宽和代码跟踪性能可以在有效载波噪声比的临界范围内准确预测和控制。

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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来源期刊

Navigation-Journal of the Institute of Navigation ENGINEERING, AEROSPACE-REMOTE SENSING

CiteScore

5.60

自引率

13.60%

发文量

期刊介绍： NAVIGATION is a quarterly journal published by The Institute of Navigation. The journal publishes original, peer-reviewed articles on all areas related to the science, engineering and art of Positioning, Navigation and Timing (PNT) covering land (including indoor use), sea, air and space applications. PNT technologies of interest encompass navigation satellite systems (both global and regional), inertial navigation, electro-optical systems including LiDAR and imaging sensors, and radio-frequency ranging and timing systems, including those using signals of opportunity from communication systems and other non-traditional PNT sources. Articles about PNT algorithms and methods, such as for error characterization and mitigation, integrity analysis, PNT signal processing and multi-sensor integration, are welcome. The journal also accepts articles on non-traditional applications of PNT systems, including remote sensing of the Earth’s surface or atmosphere, as well as selected historical and survey articles.