Columns and Editorials Archives - Inside GNSS - Global Navigation Satellite Systems Engineering, Policy, and Design

Columns and Editorials

August 11, 2022

Q: How can ground monitoring of GNSS constellations improve on the performance and integrity commitments made by GNSS constellation providers regarding the integrity of their signals and services? What performance benefits might result?

A: The “GNSS Solutions” column in the May/June issue of Inside GNSS [1] described the commitments that have been made by GNSS service providers in terms of limits on Signal-in-Space (SIS) range errors, satellite failure probabilities, and times to alert and recover from failures.

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By Inside GNSS
May 26, 2022

Virtual Aiding Methods: GPS Alternatives for Assured PNT

Robustness to GPS jamming and spoofing is critical for military applications yet challenging, and numerous alternative sensing techniques have been explored over the years. Virtual aiding methods have proven effective, with the ability to constrain and localize the search space for improved operability in GPS-denied environments. 

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By Inside GNSS
April 5, 2022

Graphing a Way out of Multipath: Robust Navigation for Autonomous Vehicles and Robots

A factor-graph optimization-based GNSS positioning method uses GNSS pseudorange and Doppler observations to estimate position, velocity, and receiver clock biases. Added constraints on past and current graph nodes of the graph using time-difference observations of the GNSS carrier phase improve the accuracy, and a robust optimization method excludes multipath outliers. Experimental results reduce horizontal positioning error from 5 to 10 meters to 1.37 meters.

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By Inside GNSS
March 30, 2022

Europe Initiates Ambitious SBAS Expansions: Dual-Frequency Multi-Constellation Signals Coming to EGNOS

The European Geostationary Navigation Overlay Service (EGNOS) will soon launch a new maritime solution that will make legacy and costly coastal ground-based augmentation systems redundant. Meanwhile, the next generation EGNOS V3, featuring dual-frequency, multi-constellation (DFMC) services, is set to come online by 2028, once GPS L5 is declared operational.

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By Peter Gutierrez

Deus in the Machina: Machine-Learning Corrections for Improved Position Accuracy

A novel method for improving the positioning accuracy of GNSS receivers exploits a machine learning (ML) algorithm. The ML model uses the post-fit residuals, which are readily available after the position computation from the position, velocity and timing (PVT) engine, adoptable by existing receivers without requiring any modification. The performance of this method, demonstrated using data collected with mass-market receivers as well as a Google public dataset collected with Android smartphones, shows the practicality of the concept.

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By Inside GNSS
March 29, 2022

Q: What is the future of autonomous vehicles?

The concept of autonomous driving has generated a lot of interest and attention in the past decades as it is believed to provide numerous benefits for individuals and society: increased road safety, reduced traffic congestion, accidents and death, and saving time and pollution on commuting. There is a lot of ongoing work on this topic, much research and many experiments have been conducted on how to make cars learn the environment, make human-like decisions and drive on their own.

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By Inside GNSS
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