PNT Archives - Page 17 of 26 - Inside GNSS - Global Navigation Satellite Systems Engineering, Policy, and Design

PNT

May 31, 2021

Getting to E5 With Ease: An AltBOC Double-Sideband Receiver Based on Single-Sideband Correlation

A novel method to track Galileo E5 AltBOC signal phase adjusts and then combines the correlation results of the upper sideband and lower sideband signal to form a double-sideband correlation result, which is equivalent to AltBOC wideband receiving to some extent. Thus, a Galileo E5 wideband receiver can be achieved with only minor modification to a traditional GNSS single-sideband receiver. The method can be further applied to other binary offset carrier (BOC) signals.

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By Inside GNSS
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May 26, 2021

Seeing and Inertial Integrating Is Believing: Multi-Antenna Vision-and-Inertial-Aided CDGNSS for Micro Aerial Vehicle Pose Estimation

Multi-antenna carrier-phase differential GNSS (CDGNSS)-based pose (position and orientation) estimation aided by monocular visual measurements and a smartphone-grade inertial sensor form the core of a system designed for micro aerial vehicles. It can be applied generally for low-cost, lightweight, high-accuracy, geo-referenced pose estimation.

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By Inside GNSS
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May 23, 2021

European Initiative for the Internet of Things

A consortium is preparing to ramp up production of Geonav IoT, a seamless indoor/outdoor positioning solution for sports applications, asset tracking and aiding drone traffic management. The GNSS module is a high-accuracy, dual-frequency system-on-chip with an integrated, low-power application processor.

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By Peter Gutierrez

Q: How can a GNSS satellite oscillator anomalies, even at micro-scale, be detected?

Incidents of GNSS signals that contain phase anomalies in a way as to mimic ionospheric scintillation have been observed in the past years. Although it is challenging to differentiate an oscillator anomaly from ionospheric scintillation, their underlying physics are different and show different carrier frequency dependency. Machine learning models using extensive GNSS databases can automatically detect satellite oscillator anomaly events.

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By Inside GNSS
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