Novatel Inc.

Leica Geosystems Ag

Paul Alves

Cameron Ellum

Benedikt Zebhauser

Hans-Jürgen Euler

Frank Takac

Thomas Morley

Dejan Seatovic

Ellum Cameron,

A system determines the azimuth of a source of an interfering signal. The system steers a first null beam in the direction of transmitting device and also steers a second null beam in the direction of the interfering source producing and providing the interfering signal. The system measures an angle to the first null beam. The system also measures an angle to the second null beam. The system calculates the azimuth of the antenna based on the measured angle to the first null beam and a known absolute bearing of the transmitting device. The system calculates the azimuth of the interfering source based on the measured angle to the second null beam and the previously calculated azimuth of the antenna.

System and method for determining azimuth of a source of an interfering signal using a beam steering antenna

A low-latency centralized RTK system utilizes an RTK server to perform matched updates using base station GNSS measurements from one or more base stations and GNSS measurements from one or more rovers, and the one or more rovers produce RTK solutions based on the results of the matched updates. The RTK server includes one or more processors that perform the matched updates and a transmitter that transmits at least the ambiguities to the rovers. The respective rovers, which have processing power that is sufficient to quickly calculate RTK baselines, utilize the received ambiguities, the base station GNSS measurements received from either the RTK server or the base stations, known base station positions and instantaneous GNSS measurements at the rovers to readily determine and update their RTK baselines and their precise positions.

Low latency centralized RTK system

A correction calculation method for a satellite based positioning system with a network of receiving units as reference stations comprises a partitioning of the network into groups of reference stations, calculation of group-specific correction factors, amalgamation of the group-specific correction factors and subsequently, derivation of network-specific correction parameters. In this partitioning, the reference stations are represented by nodes in a connected, edge-weighted graph, in the generation of which an edge respectively connecting two nodes is only generated if it satisfies a distance-dependent connectivity condition, whereby the distance between the nodes connected by this edge is input into the weighting function of this edge. From the graph a minimum spanning tree is derived and subsequently partitioned for establishing the groups.

Calculation method for network-specific factors in a network of reference stations for a satellite-based positioning system

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Calgary, Canada

Paul Alves