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

Columns and Editorials

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

Multiple Imaging Radars Integrate with INS/GNSS via AUTO Software Reliable and Accurate Positioning for Autonomous Vehicles and Robots

Difficult GNSS environments and adverse weather conditions require a fusion of many sensors to maintain lane-level accuracy for autonomous platforms, without incurring high costs that would inhibit widespread adoption. Radars are an attractive option in a multi-sensor integration scheme due to being robust to adverse weather and insensitive to lighting variations.

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By Inside GNSS
March 10, 2022

Signal Authentication, 5G and a Whole Lot of SatNav Trouble

The following is a partial transcript of a talk given to the National PNT Advisory Board Executive Committee (PNTAB ExCom) on December 9, 2021. It connects GNSS signal authentication, by both Galileo’s OSNMA and the proposed GPS Chimera signal, with developing PNT capabilities in 5G telecom technology, and further, with software-defined radio (SDR) capabilities aboard some GNSS satellites that could place GPS in the second tier.

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By Inside GNSS
March 8, 2022

Precise Point Positioning in Urban Environments

With a Low-cost Single-frequency Multi-GNSS Receiver

Although precise point positioning (PPP) has been largely limited to applications in open environments using high-end GNSS receivers, recent test results demonstrate that a new PPP system with a mass-market receiver can significantly improve positioning accuracy in urban environments.

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By Inside GNSS
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