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Columns and Editorials

December 9, 2022

Adopting Bicomplex Numbers for GNSS Meta-Signal Processing

A 4D extension of complex numbers, bicomplex numbers allow for a compact representation of GNSS meta-signals with components from two different frequencies. Acquisition and tracking algorithms are obtained from the bicomplex signal representation, giving it potential for effective dual-frequency GNSS signal processing. 

DANIELE BORIO, EUROPEAN COMMISSION, JOINT RESEARCH CENTRE (JRC)

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By Inside GNSS
November 29, 2022

Q: How can two-way communications between reference stations and users enhance the performance and integrity  of differential GNSS navigation?

JIYUN LEE, GIHUN NAM AND K. ANDREW SUN, KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY (KAIST)

A: Many forms of differential GNSS (DGNSS) exist to provide GNSS users with corrections to their pseudorange and carrier-phase measurements along with information to support their applications and provide integrity assurance [1].

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By Inside GNSS
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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
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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
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