Some embodiments of the invention relate to generating correction information based on global or regional navigation satellite system (NSS) multiple-frequency signals observed at a network of reference stations, broadcasting the correction information, receiving the correction information at one or more monitoring stations, estimating ambiguities in the carrier phase of the NSS signals observed at the monitoring station(s) using the correction information received thereat, generating residuals, generating post-broadcast integrity information based thereon, and broadcasting the post-broadcast integrity information. Other embodiments relate to receiving and processing correction information and post-broadcast integrity information at NSS receivers or at devices which may have no NSS receiver, as well as to systems, NSS receivers, devices which may have no NSS receiver, processing centers, and computer programs. Some embodiments may for example be used for safety-critical applications such as highly-automated driving and autonomous driving.

Some embodiments of the invention relate to generating correction information based on global or regional navigation satellite system (NSS) multiple-frequency signals observed at a network of reference stations, broadcasting the correction information, receiving the correction information at one or more monitoring stations, estimating ambiguities in the carrier phase of the NSS signals observed at the monitoring station(s) using the correction information received thereat, generating residuals, generating post-broadcast integrity information based thereon, and broadcasting the post-broadcast integrity information. Other embodiments relate to receiving and processing correction information and post-broadcast integrity information at NSS receivers or at devices which may have no NSS receiver, as well as to systems, NSS receivers, devices which may have no NSS receiver, processing centers, and computer programs. Some embodiments may for example be used for safety-critical applications such as highly-automated driving and autonomous driving.

The disclosure relates to a method for checking the integrity of GNSS correction data, comprising at least the following steps: a) receiving GNSS correction data, which are provided without associated integrity information, b) receiving reference data which allow for a conclusion to be drawn in respect of the integrity of the GNSS correction data received in step a), and c) checking the integrity of the GNSS correction data received in step a) by means of the reference data received in step b).

The disclosure relates to a method for checking the integrity of GNSS correction data, comprising at least the following steps: a) receiving GNSS correction data, which are provided without associated integrity information, b) receiving reference data which allow for a conclusion to be drawn in respect of the integrity of the GNSS correction data received in step a), and c) checking the integrity of the GNSS correction data received in step a) by means of the reference data received in step b).

The present disclosure proposes schemes, techniques, designs and methods pertaining to transmission and reception of random access preambles to aid integration of terrestrial mobile network communication and non-terrestrial network (NTN) communication. The design of a proposed preamble is suitable for terrestrial mobile networks and for transmission scenarios with Doppler frequency shift and long propagation delay in NTN communications. The structure of the proposed preamble is used in random access of terrestrial and NTNs. The structure of the preamble can be modified based on the preamble design used for terrestrial network communication, so that it can be used in the random access of NTNs.

The present disclosure proposes schemes, techniques, designs and methods pertaining to transmission and reception of random access preambles to aid integration of terrestrial mobile network communication and non-terrestrial network (NTN) communication. The design of a proposed preamble is suitable for terrestrial mobile networks and for transmission scenarios with Doppler frequency shift and long propagation delay in NTN communications. The structure of the proposed preamble is used in random access of terrestrial and NTNs. The structure of the preamble can be modified based on the preamble design used for terrestrial network communication, so that it can be used in the random access of NTNs.

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.

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.

Presented herein are systems and methods for generating a consistent set of signals to be processed by a PVT processor. In one or more examples, a GNSS receiver can receive a plurality of signals from a plurality of signal sources. In one or more examples, the systems and methods can generate clusters that have been vetted using cost functions so as to maximize the probability that any cluster that is sent to the PVT processor contains legitimate GNSS signals, and does not include any spoofed or otherwise illegitimate signals, thereby maximizing the probability that a PVT solution produced by the PVT processor is accurate.

Presented herein are systems and methods for generating a consistent set of signals to be processed by a PVT processor. In one or more examples, a GNSS receiver can receive a plurality of signals from a plurality of signal sources. In one or more examples, the systems and methods can generate clusters that have been vetted using cost functions so as to maximize the probability that any cluster that is sent to the PVT processor contains legitimate GNSS signals, and does not include any spoofed or otherwise illegitimate signals, thereby maximizing the probability that a PVT solution produced by the PVT processor is accurate.