Global Navigation Satellite Systems Engineering, Policy, and Design
This new method makes it possible to decompose the Complex Cross Ambiguity Function of GNSS signals during malicious spoofing attacks.
By Inside GNSS
Verifying spoofing countermeasures based on sparse signal processing.
By Inside GNSS
The main principals of fusing inertial navigation with other sensors.
By Andrey Soloviev
A look at a multiscale interference monitoring approach using several different detectors, as well as an overview of findings of an interference monitoring campaign conducted at a European airport.
By Inside GNSS
The low-cost, lightweight platform can be easily configured for a variety of applications and test scenarios. This article focuses on its use for GNSS authentication.
By Inside GNSS
Space debris poses a danger to PNT. Here’s a look at the threat and how the FCC plans to regulate its removal.
By Dawn M.K. Zoldi (Colonel, USAF, Ret.)
Kodiak Robotics, Inc. has been on a bit of a roll lately, developing automated solutions for long-haul truck routes in the southern parts of the U.S.
By Kevin Jost
Rokubun, leading the HANSEL initiative, has set up an intelligent and flexible ‘smart city’ infrastructure at The European Space Agency’s sprawling ESTEC facility in Noordwijk. The innovative system establishes the basis for future living space control and monitoring networks that will deliver key position-based services and other benefits for both citizen inhabitants and urban authorities.
By Peter Gutierrez
A new GNSS antenna array algorithm helps simultaneously estimate the antenna array attitude and direction of the incoming multipath wave fronts, improving attitude and position accuracy.
By Inside GNSS
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.
By Inside GNSS
Identifying GNSS interference based on ADS-B Out data and validating that data against confirmed interference from fielded airborne receivers.
By Inside GNSS
Detecting interference using machine learning algorithms to monitor ADS-B data.
By Inside GNSS
