Spirent Communications, Inc.

Samuel Nardoni

Paul Hansen

Esther Anyaegbu

Matthew Pottle

Jeremy Charles Bennington

Colin Richard Ford

Ronald Toh Ming Wong

Disclosed is a method of providing DOP forecasts for LEO navigation for routing of vehicles, aircraft, alerting humans in vehicles, or wireless devices, and bandwidth forecasts for LEO communications. The method includes accessing a 3D map of an area including structure solids and generating cuboids in spaces not contained in the structure solids; and iteratively over time increments, calculating LEO satellites visible from the cuboids using the map and, using at least the calculated visibility, determining forecasts for the cuboids at the time increments. Also included is compressing the determined forecast spatially and temporally; and distributing the compressed DOP forecast via a CDN, responsive to queries from requestors. Systems of the requestors can take into account the forecast for routing vehicles or alerting humans in vehicles to a predicted navigation impairment. Risk analysis is applied to improving computation and distribution of forecasts. Forecasts are applied to satellite deployment.

Architecture for providing forecasts of low earth orbit (LEO) satellite obscuration and multipath

Utilizing low earth orbit (LEO) satellite data for obscuration and multipath risk analysis

Disclosed is route planning using a worst-case risk analysis and, if needed, a best-case risk analysis of GNSS coverage. The worst-case risk analysis identifies cuboids or 2d regions through which a vehicle can be routed with assurance that adequate GNSS coverage will be available regardless of the time of day that the vehicle travels. The best-case risk analysis identifies cuboids or 2d regions through which there is adequate coverage at some times during the day. In case path finding using the worst-case risk analysis fails, a best-case risk analysis can be requested and used to find alternate potential path(s). Time dependent forecast data that covers regions along the alternate potential path(s) can be requested and used to route vehicles, including autonomous drones, from starting points to destinations. This includes generation, distribution and use of risk analysis data, implemented as methods, systems and articles of manufacture.

Utilizing GNSS risk analysis data for facilitating safe routing of autonomous drones

Generating and distributing GNSS risk analysis data for facilitating safe routing of autonomous drones

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Paignton, United Kingdom

Samuel Nardoni