Combining multipath assisted positioning and fingerprinting using deep learning brings the best of two worlds together: low complexity and good performance. MARKUS ULMSCHNEIDER,…

By Inside GNSS

JIYUN LEE, GIHUN NAM AND K. ANDREW SUN, KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY (KAIST) A: Many forms of differential GNSS (DGNSS) exist…

By Inside GNSS

In this column, guest contributor Mike Horton from ANELLO Photonics introduces a new gyro technology that bridges the market gap between high-performance (but…

By Inside GNSS

MADRID—The Spanish company UAV Navigation announced Nov. 14 it will participate in the OSNMAplus consortium, led by Italys’ Qascom, intended to authenticate signals…

By Inside GNSS

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

Long Life Cryocoolers Best-in-Class Infrared Performance All From One Dependable Supplier Sponsored by Teledyne FLIR

By Inside GNSS

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…

By Inside GNSS

A new GNSS antenna array algorithm helps simultaneously estimate the antenna array attitude and direction of the incoming multipath wave fronts, improving attitude…

By Inside GNSS

This fall, vendors from the Defense Innovation Unit’s (DIU) Harmonious Rook prototype project will participate in DoD and international exercises. The goal is…

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…

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

The “Cargo Cults” of Washington D.C., while well intentioned, are slowing progress. To improve national PNT posture, we must start building, failing and learning…

By Inside GNSS