A reference signal periodically transmitted by a base station in a wireless network can have certain proprietary properties to help prevent detection and utilization of the signal for unauthorized positioning of mobile devices. More specifically, a network node can obscure and introduce time-variation in mapping between positioning signals and a corresponding physical base stations. The network node may also introduce time variations in fields of a base station almanac (BSA) provided to subscribing user equipments (UEs). The information transmitted to the subscribing UEs may be encrypted.

A receiver circuitry configured to receive, from infrastructure equipment of the wireless telecommunications network, a signal comprising positioning information for allowing a spatial position of the terminal device to be determined using the positioning information and a predetermined positioning scheme associated with the positioning information, the positioning scheme comprising one or more of instructions and additional information for determining the position of the terminal device using the positioning information, wherein the positioning information is comprised within a system information block (SIB) of the received signal; and processing circuitry configured: to determine, based on a characteristic of the SIB, a temporal validity of the received positioning information, and to determine, at a time at which the received positioning information is temporally valid, the spatial position of the terminal device using the received positioning information and the predetermined positioning scheme.

A receiver circuitry configured to receive, from infrastructure equipment of the wireless telecommunications network, a signal comprising positioning information for allowing a spatial position of the terminal device to be determined using the positioning information and a predetermined positioning scheme associated with the positioning information, the positioning scheme comprising one or more of instructions and additional information for determining the position of the terminal device using the positioning information, wherein the positioning information is comprised within a system information block (SIB) of the received signal; and processing circuitry configured: to determine, based on a characteristic of the SIB, a temporal validity of the received positioning information, and to determine, at a time at which the received positioning information is temporally valid, the spatial position of the terminal device using the received positioning information and the predetermined positioning scheme.

A navigation processing system includes at least one processor configured to execute operational instructions that cause the at least one processor to perform operations that include generating navigation data. A data stream is generated based on the navigation data and a data channel spreading sequence. A pilot stream is generated based on a pilot channel spreading sequence. A navigation signal is generated based on applying a bandwidth-efficient modulation scheme to the data stream and the pilot stream. The navigation is signal is broadcast via a navigation signal transmitter for receipt by at least one client device.

Machine learning techniques can be used to mitigate multipath in a GNSS receiver that includes a first trained model that provides extra path length (EPL) corrections in the GNSS receiver. The first trained model can be updated using an updated and trained model from one or more assistance servers that are in communication with the GNSS receiver. The GNSS receiver can provide, for a particular computed position and time, extracted features from received GNSS signals to the one or more assistance servers. The assistance servers can then use the extracted features and a source of true EPL corrections (e.g., from a 3D building map database for the particular computed position and time) to train a server model. The server model, once trained to a desired level of accuracy, can be transmitted to the GNSS receiver to replace the first trained model. The server model can be compared to the first trained model to verify it can provide more accurate EPL corrections than the first trained model. The server model and the source of true EPL corrections can be specific for a geographic region, so different regions have different server models based on the corresponding sources of true EPL corrections.

Machine learning techniques can be used to mitigate multipath in a GNSS receiver that includes a first trained model that provides extra path length (EPL) corrections in the GNSS receiver. The first trained model can be updated using an updated and trained model from one or more assistance servers that are in communication with the GNSS receiver. The GNSS receiver can provide, for a particular computed position and time, extracted features from received GNSS signals to the one or more assistance servers. The assistance servers can then use the extracted features and a source of true EPL corrections (e.g., from a 3D building map database for the particular computed position and time) to train a server model. The server model, once trained to a desired level of accuracy, can be transmitted to the GNSS receiver to replace the first trained model. The server model can be compared to the first trained model to verify it can provide more accurate EPL corrections than the first trained model. The server model and the source of true EPL corrections can be specific for a geographic region, so different regions have different server models based on the corresponding sources of true EPL corrections.

One example transmission method includes receiving, by a network device, a first transmission parameter that is sent by a server and that is used to transmit assistance data, where the first transmission parameter includes configuration information and/or priority information, and the configuration information is used to indicate a transmission cycle of each of one or more system messages and/or a size of a data volume that can be carried in each of the one or more system messages, and sending, by the network device, first configuration information to the server according to the first transmission parameter, where the first configuration information is used to indicate a transmission cycle of a first system message and a size of a data volume that can be carried in the first system message, and the one or more system messages include the first system message.

Disclosed are methods and apparatuses for transmitting and receiving characteristic information of a GNSS subframe. A method for transmitting and receiving characteristic information of a GNSS subframe, as a method for a first device, may comprise: receiving a subframe including first information, which is characteristic information of the subframe, from a second device; checking a format of the subframe on the basis of the first information; and determining whether to decode data included in the subframe on the basis of the checked format of the subframe.

Disclosed are methods and apparatuses for transmitting and receiving characteristic information of a GNSS subframe. A method for transmitting and receiving characteristic information of a GNSS subframe, as a method for a first device, may comprise: receiving a subframe including first information, which is characteristic information of the subframe, from a second device; checking a format of the subframe on the basis of the first information; and determining whether to decode data included in the subframe on the basis of the checked format of the subframe.

A method for GNSS-based localization of a vehicle includes receiving a first set of satellite orbit data, using the first set of satellite orbit data when determining a first localization result, receiving a second set of satellite orbit data, checking a plausibility of the first set of satellite orbit data using the second set of satellite orbit data, and manipulating the first set of satellite orbit data and/or the first localization result and/or a localization filter when the plausibility check was not successful.