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A multi-GNSS software-defined receiver: design, implementation, and performance benefits

TLDR
In this article, a multi-GNSS receiver design is presented in various processing stages for three different GNSS systems, namely, GPS, Galileo, and the Chinese BeiDou navigation satellite system (BDS).
Abstract
Global navigation satellite systems (GNSSs) have been experiencing a rapid growth in recent years with the inclusion of Galileo and BeiDou navigation satellite systems. The existing GPS and GLONASS systems are also being modernized to better serve the current challenging applications under harsh signal conditions. Therefore, the research and development of GNSS receivers have been experiencing a new upsurge in view of multi-GNSS constellations. In this article, a multi-GNSS receiver design is presented in various processing stages for three different GNSS systems, namely, GPS, Galileo, and the Chinese BeiDou navigation satellite system (BDS). The developed multi-GNSS software-defined receiver performance is analyzed with real static data and utilizing a hardware signal simulator. The performance analysis is carried out for each individual system, and it is then compared against each possible multi-GNSS combination. The true multi-GNSS benefits are also highlighted via an urban scenario test carried out with the hardware signal simulator. In open sky tests, the horizontal 50 % error is approximately 3 m for GPS only, 1.8 to 2.8 m for combinations of any two systems, and 1.4 m when using GPS, Galileo, and BDS satellites. The vertical 50 % error reduces from 4.6 to 3.9 when using all the three systems compared to GPS only. In severe urban canyons, the position error for GPS only can be more than ten times larger, and the solution availability can be less than half of the availability for a multi-GNSS solution.

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Journal ArticleDOI

Geospatial Data Management Research: Progress and Future Directions

TL;DR: Topology is presented as a powerful and general concept to analyze GIS and BIM data structures and spatial relations that will be of great importance in emerging applications such as smart cities and digital twins.
Journal ArticleDOI

A Multi-Sensor Positioning Method-Based Train Localization System for Low Density Line

TL;DR: A BDS/INS/odometer/map-matching (MM) positioning methodology for train navigation applications is proposed to solve the problem of positioning during BDS outages when trains pass through signal obstructed areas such as under bridges, inside tunnels, and through deep valleys.
Journal ArticleDOI

A new implementation of narrowband interference detection, characterization, and mitigation technique for a software-defined multi-GNSS receiver

TL;DR: A fully adaptive solution to counter NBI that is capable of detecting and characterizing any number of narrow interfered bands, and then optimizing the mitigation process based on such characterization, namely the estimates of both interference frequency and width is presented.
Proceedings ArticleDOI

Secure Multi-Constellation GNSS Receivers with Clustering-Based Solution Separation Algorithm

TL;DR: The work shows that a multi-constellation GNSS receiver equipped with a cluster-based solution separation algorithm (CSSA) works effectively against a strong spoofing/replaying attacker that can manipulate a large number of signals, or even an entire constellation.
Journal ArticleDOI

Advantages of combined GNSS processing involving a limited number of visible satellites

TL;DR: The author analyses the accuracy of static GNSS measurements according to the number of visible satellites, based on different minimal elevation cut-off angles, in three modes: GPS, GLONASS and hybrid GNSS (GPS+GLONASS).
References
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Improvements to "A Software-Defined GPS and Galileo Receiver: Single-Frequency Approach"

Eric Vinande, +1 more
TL;DR: In this article, an open-source, MATLAB software Global Positioning System (GPS) receiver is described, all functions from signal acquisition to position solution are described, and the results from Wide Area Augmentation System (WAAS) ranging, WAAS correction decoding, and navigation solution filtering are described.

RINEX: The Receiver Independent Exchange Format Version 2.11

Werner Gurtner, +1 more
TL;DR: (Revision, April 1993) (Clarification December 1993), (Doppler Definition: January 1994), (PR Clarification: October 1994) (Wlfact Clarification): February 1995)
Book

A Software-Defined GPS and Galileo Receiver A Single-Frequency Approach

TL;DR: The GNSS Signal Simulation Bibliography Index describes how the GNSS Receiver Operation Overview, Acquisition Carrier and Code Tracking Data Processing for Positioning Problems, and MATLAB Code provide information on how to integrate these systems into MATLAB.

IGS-MGEX: Preparing the Ground for Multi-Constellation GNSS Science

TL;DR: The Experiment (MGEX) as mentioned in this paper is an early-familiarization system for GNSS systems to enable their incorporation into high-precision GNSS modeling and analysis, and it is based on the MGEX project.

Signal Characteristics of Civil GPS Jammers

TL;DR: The signal properties of 18 commercially available GPS jammers are surveyed based on experimental data and there are significant jammer-to-jammer variations, including between jammers of the same model, and that a given jammer’s signal may vary over time.
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