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GNSS augmentation

About: GNSS augmentation is a research topic. Over the lifetime, 2478 publications have been published within this topic receiving 28513 citations. The topic is also known as: SBAS & Satellite Based Augmentation System.


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Proceedings ArticleDOI
21 May 2012
TL;DR: The characteristics of each of theGNSS signals are described, and the performance benefits that will be provided to the precise time and frequency community as the GNSS evolves are highlighted.
Abstract: This paper provides an overview of Global Navigation Satellite System (GNSS) signals. Today, GNSS comprises two major constellations: (1) the United States' Global Positioning System (GPS), and (2) the Russian Federation's Globalnaya Navigatsionnaya Sputnikovaya Sistema (GLONASS). Two other major constellations are being deployed. Additionally, regional systems have been deployed or are planned. Whereas most GNSS timing receivers today rely only upon the legacy GPS signals, it is anticipated in the near future that multi-system receivers will become the norm. This paper describes the characteristics of each of the GNSS signals, and highlights the performance benefits that will be provided to the precise time and frequency community as the GNSS evolves.

36 citations

Journal ArticleDOI
TL;DR: A robust georeferencing system that could satisfy centimeter-level accuracy requirements in port environments is described and three integration algorithms are investigated and implemented into a triple-integrated PPP-GNSS/Locata/INS integrated system.
Abstract: A good port management system must be able to perform safe, predictable, and efficient execution of transport processes. In order to improve the quality of the port management, a robust navigation system is required, which enables to provide the positions of vessels 24/7 on either open or impeded environment. This paper describes a robust georeferencing system that could satisfy centimeter-level accuracy requirements in port environments. The design is based on the loosely coupled integration of global navigation satellite system (GNSS) technology, a terrestrial radio frequency ranging system known as Locata, and an inertial navigation system (INS). GNSS observations are processed using the precise point positioning (PPP) approach instead of the conventional differential approach. To satisfy both accuracy and reliability requirements, three integration algorithms—centralized Kalman filtering (CKF), federated Kalman filtering (FKF), and global optimal filtering (GOF)—are investigated and implemented into a triple-integrated PPP-GNSS/Locata/INS system. A preliminary performance assessment, which is based on the analysis of real data, concludes that all the three integration algorithms are able to provide centimeter-level positioning solutions. The results show that the FKF and CKF algorithms have similar performance, whereas the GOF solution has higher accuracy. Moreover, the outlier simulation is conducted and the result verifies the outlier fault-tolerant capability of the GOF-based PPP-GNSS/Locata/INS integrated system.

35 citations

Journal ArticleDOI
TL;DR: In this article, the authors compared two strategies for the joint acquisition of the data and pilot components for the European Galileo E1 Open Service (OS) modulation, and the obtained results are general and can be applied to other GNSS signals.
Abstract: With the advent of new global navigation satellite systems (GNSS), such as the European Galileo, the Chinese Compass and the modernized GPS, the presence of new modulations allows the use of special techniques specifically tailored to acquire and track the new signals. Of particular interest are the new composite GNSS signals that will consist of two different components, the data and pilot channels. Two strategies for the joint acquisition of the data and pilot components are compared. The first technique, noncoherent combining, is from the literature and it is used as a comparison term, whereas the analysis of the second one, coherent combining with sign recovery, represents the innovative contribution of this paper. Although the analysis is developed with respect to the Galileo E1 Open Service (OS) modulation, the obtained results are general and can be applied to other GNSS signals.

35 citations

Proceedings ArticleDOI
23 Apr 2012
TL;DR: The GPStation-6 as mentioned in this paper is the next generation GNSS ionospheric scintillation and TEC monitor, incorporating the proven GSV4004B receiver design with the ability to track multi-constellation, multi-frequency, GNSS measurements.
Abstract: The ionosphere, if not modeled sufficiently well, is the largest contributor of error in single frequency GNSS receivers. Modeling ionospheric effects is a major concern for a number of GNSS applications. Ionospheric disturbances induce rapid fluctuations in the phase and the amplitude of received GNSS signals. These rapid fluctuations or scintillation potentially introduce cycle slips, degrade range measurements, and if severe enough lead to loss of lock in phase and code. GNSS signals, although vulnerable, themselves provide an excellent way to measure the ionospheric effect continuously worldwide. Until now, ionospheric monitoring was performed using receivers such as the GSV4004B receiver, which was largely based on GPS only dual frequency receivers. Semi-codeless tracking of the GPS L2 signal greatly limited the accuracy, robustness and utility of the ionospheric TEC measurements and was useless for scintillation measurements on L2. The GPS modernization program, the restored GLONASS, and the upcoming GNSS constellations (Galileo and Compass) bring forth huge benefits for ionospheric monitoring. This paper introduces the NovAtel's next generation GNSS ionospheric scintillation and TEC monitor, the GPStation-6. By incorporating the proven GSV4004B receiver design with the ability to track multi-constellation, multi-frequency, GNSS measurements, the new receiver engine provides robust and less noisy ionospheric measurements.

35 citations

Journal ArticleDOI
TL;DR: An overview of the state of the art of this relatively new and, in some respects, underutilised remote sensing technique is provided.
Abstract: The Global Navigation Satellite System (GNSS) signals are always available, globally, and the signal structures are well known, except for those dedicated to military use. They also have some distinctive characteristics, including the use of L-band frequencies, which are particularly suited for remote sensing purposes. The idea of using GNSS signals for remote sensing - the atmosphere, oceans or Earth surface - was first proposed more than two decades ago. Since then, GNSS remote sensing has been intensively investigated in terms of proof of concept studies, signal processing methodologies, theory and algorithm development, and various satellite-borne, airborne and ground-based experiments. It has been demonstrated that GNSS remote sensing can be used as an alternative passive remote sensing technology. Space agencies such as NASA, NOAA, EUMETSAT and ESA have already funded, or will fund in the future, a number of projects/missions which focus on a variety of GNSS remote sensing applications. It is envisaged that GNSS remote sensing can be either exploited to perform remote sensing tasks on an independent basis or combined with other techniques to address more complex applications. This paper provides an overview of the state of the art of this relatively new and, in some respects, underutilised remote sensing technique. Also addressed are relevant challenging issues associated with GNSS remote sensing services and the performance enhancement of GNSS remote sensing to accurately and reliably retrieve a range of geophysical parameters.

35 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023122
2022266
202144
202062
201956
201851