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Cloud-based GNSS reliability analysis

Autonomous and ADAS vehicles operate in environments where obstructions to GNSS signals are common, resulting in inconsistent GNSS positioning and navigation. Spirent's GNSS Foresight analyzes GNSS signal reception based on the actual city environment, including buildings and other signal obstructions, ensuring the AV knows the expected performance and when to utilize and prioritize GNSS as part of the navigation solution.

Spirent’s GNSS Foresight is a cloud-based service that uses 3D maps and precise orbital information to enable users to find out where and when GNSS will be reliable, allowing them to plan routes to optimize navigation performance and operate safely. Foresight works by ray casting/tracing each GNSS satellite’s line of sight and non-line of sight for every square meter, every second. The Foresight engine calculates the times and locations at which each satellite will be obscured by buildings or other impediments with a high degree of accuracy, accurately predicting satellite availability and associated positioning performance.

With Foresight, users can improve receiver performance; by enabling the prioritization of line-of-sight signals over non-line-of-sight, and by identifying satellites for multipath rejection, it can increase accuracy and reliability by up to 50%. Users can also improve sensor fusion, as the service can enable a sensor fusion engine to know where and when GNSS is usable, leading to real-time performance optimization. In addition, by knowing when and where GNSS will be reliable, users can therefore deploy more reliable systems with higher performance, without the requirement for additional expensive sensors.

Booth: 3029

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