A global navigation satellite system (GNSS) receiver is disclosed. In embodiments, the GNSS receiver includes a tracking engine running on a primary controller, the tracking engine configured to receive a plurality of signals from a plurality of satellites. The GNSS receiver further includes a space-time adaptive correlator (STAC) engine running on an application-specific controller. In embodiments, the STAC engine is configured to: receive initial position data and an initial receiver clock estimate from the tracking engine; construct a spatial hypercube based on the received initial position data; receive the plurality of signals from the tracking engine; interpolate signal strengths of the plurality of signals to generate a plurality of signal intensity curves; integrate the plurality of signal intensity curves within the spatial hypercube for the initial receiver clock estimate to generate a signal intensity hypercube plot; and determine a receiver position based on the signal intensity hypercube plot.

A system and a method are disclosed for enabling seamlessly tracking a location of a water vessel by supplementing satellite data with mobile data location based on proximity of a water vessel to shore. The system receives a Global Positioning System (GPS) location of the water vessel, the GPS location of the water vessel based on using the satellite data of the water vessel. The system determines that the GPS location is within a threshold distance of a boundary. Responsive to determining that the GPS location is within the threshold distance of the boundary, the system initiates monitoring for a mobile signal emanating from a trajectory path of the water vessel. The system detects, during the monitoring, the mobile signal, the tracking the location of the water vessel based on mobile data of the mobile signal. The system provides the tracked location to a monitoring device.

A terminal device for use in a wireless telecommunications network, the terminal device comprising: first receiver circuitry configured to receive a first signal from each of one or more signal emitting devices located at respective spatial positions; transmitter circuitry configured to transmit a second signal to infrastructure equipment of the wireless telecommunications network; second receiver circuitry configured to receive a third signal from the infrastructure equipment, the third signal being transmitted by the infrastructure equipment in response to the infrastructure equipment receiving the second signal, the third signal being for determining, in combination with the first signal received from each of the one or more signal emitting devices, the spatial position of the terminal device, and the third signal being comprised within a predetermined system information block (SIB); and control circuitry configured to determine a spatial position of the terminal device based on the received first and third signals.

The disclosure relates to a method for generating a three-dimensional environment model using GNSS measurements, comprising at least the following steps: a) receiving a plurality of measuring data sets, each of which describes a propagation path of a GNSS signal between a GNSS satellite and a GNSS receiver; b) selecting from the plurality of measuring data sets individual measuring data sets which meet a first selection criterion, the first selection criterion being characteristic for the presence of an object boundary along the propagation path of the GNSS signal; and c) capturing an object boundary of an object in the environment of at least one GNSS receiver using the measuring data sets selected.

A positioning processing method is provided. In the method, a positioning request is received. The positioning request includes identification information of a device. Rough location information of the device is acquired from a core network according to the identification information of the device. Differential assistance information is generated according to the rough location information of the device. The differential assistance information is transmitted to the device. A positioning location of the device is determined based on the differential assistance information.

Perception data based multipath identification and correction is based on recognition that sensors such as radar, LIDAR, and cameras can generate perception data indicative of locations and properties of terrestrial objects in an environment surrounding a satellite navigation device (e.g., a GNSS receiver), which data may then be used in training, or updating, a model for determining or correcting distances to satellites to account for multipath. Multipath identification includes identifying multipaths to train the model, e.g., by using perception data to perform ray tracing. Multipath correction includes using the model to correct distance errors due to the multipaths or, equivalently, using the model to determine distances to satellites in a manner that accounts for the multipaths.

An Real-Time Kinematic (RTK) and/or Differential GNSS (DGNSS) system is disclosed in which correction data from a plurality of reference stations is provided to the mobile device. A selection of reference stations (from which correction data is provided to the mobile device) can be made based on factors such as the approximate location of the mobile device, geometry of the reference stations, and/or other factors. The mobile device can combine the correction data from the plurality of reference stations in different ways to determine an accurate position fix for the mobile device, without interpolating correction data from the plurality of reference stations.

A positioning terminal is provided and identifies, as appropriate, a satellite to be excluded, thereby improving positioning accuracy. A processor acquires a signal-to-noise ratio (SNR) and an angle of elevation for each satellite. The processor next identifies a satellite for which the SNR is less than a shielding SNR mask as a multipath satellite and selects the satellite to be excluded. The processor next generates positioning terminal positioning data using a positioning signal from satellites other than the satellite to be excluded. The processor next uses reference station positioning data and positioning terminal positioning data of the selected satellite to execute an RTK calculation.

A system described herein may determine location information (e.g., two-dimensional location information) associated with an asset, generate or receive a first code based on the received location information, determine height information associated with the asset; generate a second code based on the first code and the height information; and store association information associating the first asset with the second code. The system may further receive a first request for location information associated with the asset; and output, in response to the first request, the second code, thus providing three-dimensional location information for the asset in response to the request.

A method of analyzing a ground-based augmentation system (GBAS) signal, comprising: transmitting at least one GBAS message burst; receiving the GBAS message burst, and performing a power measurement at symbol times of the GBAS message burst. Further, a test system for testing a ground-based augmentation system is described.