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Forecast where and when GNSS will be reliable

Unmanned Aircraft Systems (UAS) promise many benefits for society — flying to accident sites ahead of first responders, inspecting infrastructure faster, reducing congestion and carbon emissions on city streets with airborne package delivery.

To fully realize new use cases, drones must navigate safely and accurately beyond the line of sight (BLOS) of a human operator.

This eBook explores the challenge of forecasting GNSS reliability for BLOS flight including:

  • Signal obscuration for GNSS reliability

  • Requirements for reliable GNSS performance

  • Why existing GNSS performance solutions fall short

  • Predicting when and where GNSS will be reliable

Fill out the form to get your copy of Achieving Reliable GNSS Performance for Autonomous UAS Navigation.

Download the eBook

Unlock the full potential of UAS

To reach their full potential, drones will have to do more than just find their way on their own. They will have to perform flawlessly in an unpredictable world.

To date, UAS use has mostly been restricted to line of sight operations because of safety, including the reliability of GNSS signal reception. But what if UAS operators and UAS traffic management (UTM) could know exactly where and when a drone is likely to encounter areas of degraded GNSS reception?

If that data was available, reliably and in advance, it would enhance safety and open up a host of possibilities.

Download the eBook to learn how GNSS reliability forecasting brings the possibility of BLOS flight closer, and introduces a new solution: Spirent GNSS Foresight.