lkd-aerospace
Inside GNSS: Engineering Solutions from the Global Navigation Satellite System Community
GPS Galileo Glonass BeiDou Regional/Augmentation
NovAtel
essp
unicore
Inside Unmanned Systems
Inside Unmanned Systems
Thought Leadership Series
GLONASS
July 3, 2017 - July 7, 2017
Paris, France
May 29, 2017 - June 2, 2017
Helsinki, Finland
November 16, 2016

NOAA Expands GNSS Data Sources for Weather Prediction

The National Oceanic and Atmospheric Administration (NOAA) will purchase data from small commercial satellites to expand its GNSS radio occultation (RO) efforts to better predict weather.

In September NOAA, through the government's Commercial Weather Data Pilot program, awarded contracts to San Francisco, California-based Spire Global ($370,000) and GeoOptics ($695,000), of Pasadena, California, to provide RO data. This data will be used to assess whether commercially provided information can be incorporated into the agency's weather models.

July 9, 2017 - July 13, 2017
Besançon, France
Ventures • November 15, 2016

NovAtel Partners for Autonomous Vehicle Safety Research

NovAtel Inc. announced today (November 15, 2016) that it has entered into an agreement with two educational institutions to fund leading-edge research to determine how GNSS technology can deliver a positioning solution that meets both the safety and accuracy requirements of unmanned automotive vehicles.

September 25, 2017 - September 29, 2017
Portland, Oregon
April 25, 2017 - April 28, 2017
Moscow, Russia
May 7, 2017 - May 9, 2017
Baška, Croatia
Working Papers • November/December 2016

Interference Localization from Space

Working Papers explore the technical and scientific themes that underpin GNSS programs and applications. This regular column is coordinated by Prof. Dr.-Ing. Günter Hein, head of Europe's Galileo Operations and Evolution.

GNSS Solutions • November/December 2016

Challenges of Ray-Tracing for GNSS Applications

Q: What are the challenges of ray-tracing for GNSS applications?

A: Simulating the propagation and reception of GNSS signals in complex environments is a challenging task. Indeed, the user always has to trade off between the computation time and the reliability of the output. Moreover, the motion of GNSS satellites, atmospheric effects, and building geometry are always difficult to model.

Signals
Trimble
Trimble
Sensonor
NavtechGPS
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Summit
CAST
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