A method performed by a target device to obtain positioning assistance data from a location server is provided. The target device and the location server are operating in a wireless communications network. The target device transmits a request to the location server. The request is a request for positioning assistance data and provides first logical position information. The target device obtains positioning assistance data from the location server. The positioning assistance data is based on the first logical position information. When being associated with a second logical position, the target device transmits a request to the location server. The request requests for positioning assistance data and provides second logical position information. The target device obtains positioning assistance data from the location server. The positioning assistance data is based on the second logical position information.

Container tracking systems and related methods. A container tracking assembly comprises a processor having a powered-off state and a sleep state, at least one sensor, a radio frequency transceiver, and a power source in electrical communication with the processor, the at least one sensor, and the radio frequency transceiver. Additionally, the container tracking assembly comprises a non-transitory memory having instructions stored thereon, wherein the instructions, when executed by the processor, are operative to acquire, via the radio frequency transceiver, a current location of the container and cause the processor to enter the powered-off state if the current location of the container does not differ from a previously-acquired location of the container by more than a threshold amount. If the current location of the container differs from the previously-acquired location of the container by more than the threshold amount, the processor enters the sleep state for a first period of time.

Container tracking systems and related methods. A container tracking assembly comprises a processor having a powered-off state and a sleep state, at least one sensor, a radio frequency transceiver, and a power source in electrical communication with the processor, the at least one sensor, and the radio frequency transceiver. Additionally, the container tracking assembly comprises a non-transitory memory having instructions stored thereon, wherein the instructions, when executed by the processor, are operative to acquire, via the radio frequency transceiver, a current location of the container and cause the processor to enter the powered-off state if the current location of the container does not differ from a previously-acquired location of the container by more than a threshold amount. If the current location of the container differs from the previously-acquired location of the container by more than the threshold amount, the processor enters the sleep state for a first period of time.

The present disclosure relates generally to satellite communication systems, and, more particularly, to trilateration-based satellite location accuracy for improved satellite-based geolocation are provided. In one embodiment, a method comprises: determining, by a processing device, a location of each of a plurality of reference antennas with known locations; obtaining a plurality of distances between a communication satellite and the plurality of reference antennas, each distance of the plurality of distances corresponding to a respective reference antenna of the plurality of reference antennas, at least one distance of the plurality of distances based on an echo message communicated between a particular reference antenna of the plurality of reference antennas and the communication satellite; determining an accurate location of the communication satellite based on trilateration of the plurality of distances from the known locations of the plurality of reference antennas; and utilizing the accurate location of the communication satellite.

A split architecture is disclosed for determining the location of a wireless device in a heterogeneous wireless communications environment. A detector within the device or another component of the environment receives signals including parameters for a localization signal of the device. The parameters describe known in advance signals within the signals. Additional metadata including each frame start of the signals and assistance data and auxiliary information are also received. The known in advance signals are detected based on the parameters of the localization signal. Samples extracted from the known in advance signals are then processed and compressed and sent with other collect data to a locate server remote from the detector. The location server uses that information as well as similar information about the environment to calculate the location of the device, as well as perform tracking and navigation of the device, and report such results to the environment.

The disclosure relates to a method for checking ionospheric correction parameters for satellite navigation for a vehicle. The method has a step of reading a provider signal from an interface with a correction data provider. The provider signal represents ionospheric correction parameters for correcting ionospheric influences for a geographic position in satellite navigation. The method also has a step of determining correction data using information relating to the state of the ionosphere between a satellite receiver of the vehicle at the geographic position and at least one satellite. The state information is defined using at least one satellite signal transmitted between the at least one satellite and the satellite receiver. The method also has a step of performing a comparison between the ionospheric correction parameters and the correction data in order to check the ionospheric correction parameters.

A split architecture is disclosed for determining the location of a wireless device in a heterogeneous wireless communications environment. A detector within the device or another component of the environment receives signals including parameters for a localization signal of the device. The parameters describe known in advance signals within the signals. Additional metadata including each frame start of the signals and assistance data and auxiliary information are also received. The known in advance signals are detected based on the parameters of the localization signal. Samples extracted from the known in advance signals are then processed and compressed and sent with other collect data to a locate server remote from the detector. The location server uses that information as well as similar information about the environment to calculate the location of the device, as well as perform tracking and navigation of the device, and report such results to the environment.

This document describes vehicle localization using map and vision data. For example, this document describes a localization system that obtains a map centerline point and a vision centerline point of a lane of a roadway. The localization system also obtains the position of the vehicle. The localization system can then compare the map centerline point and the vision centerline point to generate a lateral and a longitudinal correction relative to the vehicle's position. The lateral and longitudinal corrections are used to generate a corrected position. In this way, the described localization system can provide accurate vehicle localization that addresses potential drift caused by lapsed or inaccurate positioning data and allows for the operation of assisted-driving and autonomous-driving systems at higher speeds and on roadways with tighter curves.

This document describes vehicle localization using map and vision data. For example, this document describes a localization system that obtains a map centerline point and a vision centerline point of a lane of a roadway. The localization system also obtains the position of the vehicle. The localization system can then compare the map centerline point and the vision centerline point to generate a lateral and a longitudinal correction relative to the vehicle's position. The lateral and longitudinal corrections are used to generate a corrected position. In this way, the described localization system can provide accurate vehicle localization that addresses potential drift caused by lapsed or inaccurate positioning data and allows for the operation of assisted-driving and autonomous-driving systems at higher speeds and on roadways with tighter curves.

The present application provides a fast and precise positioning method and system. The method includes: acquiring observation data of navigation satellites and LEO augmentation satellites at a current epoch; respectively acquiring navigation telegrams of the navigation satellites and the LEO augmentation satellites, and obtaining precise orbit and clock bias; correcting errors received in the positioning process according to the acquired navigation telegrams; normalizing by taking a type of satellite navigation system as reference to obtain unified linear observation equations, and calculating observation values of positioning and velocity measurement parameters; calculating estimated values of positioning and velocity measurement parameters at the current epoch through a state equation according to the calculated observation values of positioning and velocity measurement parameters and estimated values of positioning and velocity measurement parameters at the previous epoch; generating and saving positioning and velocity measurement results at the current epoch according to the estimated values of positioning and velocity measurement parameters.