A user terminal positioning method is used in an edge cloud server, and includes: receiving satellite positioning information sent by a user terminal; determining a location service area in which the user terminal is located; on the basis of the location service area, acquiring a differential correction model corresponding to the location service area from a public cloud server; using the satellite positioning information and the differential correction model to implement location calculation to obtain location information of the user terminal; and sending the location information to the user terminal.

A method for cycling GPS computations is described in which, at a beginning of a cycle, N computing devices are determined to be members of a device group. At each of N points within the cycle: a target device of the N computing devices is instructed to compute its target location data; another member of the device group is instructed to refrain from computing its other location data; target location data is received from the target device; and the target location data is transmitted to each other member of the device group.

A method for cycling GPS computations is described in which, at a beginning of a cycle, N computing devices are determined to be members of a device group. At each of N points within the cycle: a target device of the N computing devices is instructed to compute its target location data; another member of the device group is instructed to refrain from computing its other location data; target location data is received from the target device; and the target location data is transmitted to each other member of the device group.

A position detection method to be executed by a computer, the position detection method includes transmitting, by a sensor terminal, a signal obtained by performing capture processing on a satellite signal from a satellite of a search target according to an order of the satellites of the search targets; calculating, by a calculation device, a position of the sensor terminal based on a signal transmitted by the sensor terminal; and determining a satellite having a highest discovery probability based on a specific estimation method for second and subsequent search targets, using an index which is reflected larger as the discovery probability of other satellites is higher or lower, in a case where the first satellite is captured when a first search target is determined.

A position detection method to be executed by a computer, the position detection method includes transmitting, by a sensor terminal, a signal obtained by performing capture processing on a satellite signal from a satellite of a search target according to an order of the satellites of the search targets; calculating, by a calculation device, a position of the sensor terminal based on a signal transmitted by the sensor terminal; and determining a satellite having a highest discovery probability based on a specific estimation method for second and subsequent search targets, using an index which is reflected larger as the discovery probability of other satellites is higher or lower, in a case where the first satellite is captured when a first search target is determined.

A method for generating a physical model of a path from GPS data. The method involves receiving GPS data defining a path from a GPS-enabled device and receiving a digital terrain model for an area that includes the path. An area of interest along the path is then identified and the GPS data associated with the area of interest is smoothed. The digital terrain model is sampled along the path and an elevation of the path is smoothed using a weighted average of the digital terrain model and the GPS data to create modified path data that is scaled to produce a first ribbon that is printed.

A positioning method includes: receiving detection data sent by a positioning device, in which the detection data includes first satellite data of multiple satellites; determining prediction noise of each satellite based on the first satellite data, and determining a weight of each satellite based on the prediction noise; and determining a position of the positioning device based on the weight and observation equations.

The invention relates to a Global Navigation Satellite System (GNSS) receiver, comprising 1) a radiofrequency (RF) front-end configured to acquire GNSS signals emitted by a plurality of GNSS satellites in at least two snapshot time windows, wherein each emitted GNSS signal comprises a respective known spreading code identifying the emitting GNSS satellite, and wherein the RF front-end is configured to transform the acquired GNSS signals in each of the at least two snapshot time windows into a digital sequence, respectively, and 2) a receiver unit configured to determine for each snapshot time window pseudo-ranges from the GNSS receiver to at least a subset of the emitting GNSS satellites, respectively, wherein said at least two subsets corresponding to the at least two snapshot time windows may differ from one another, and wherein said pseudo-ranges are determined using (i) the known spreading codes and (ii) the at least two digital sequences. The GNSS receiver is configured to determine composite pseudo-ranges between the GNSS receiver and a composite subset of the emitting GNSS satellites at composite receive times, using at least the determined pseudo-ranges corresponding to the at least two snapshot time windows. The invention also relates to an assembly comprising a GNSS receiver, a gateway and a computing unit. The invention also relates to a method for determining a position of a GNSS receiver.

A navigation satellite receiver system is disclosed. The system includes a host receiver. The host receiver includes a user interface, a module connector, and a controller coupled to the user interface and the module connector. The system further includes a receiver module operably coupled to the receiver module. The receiver module includes an antenna configured to receive one or more satellite navigation signal. The receiver module further includes an interface receiver card operably coupled to the module antenna. The interface receiver card is configured to process the one or more navigation signals. The receiver module further includes a host connector communicatively coupled to the interface receiver card and is configured to couple to the module connector. The module includes a housing configured to receive and protect the interface receiver card, the antenna, and the host connector.

A server jointly tracks states of multiple vehicles using measurements of satellite signals received at each vehicle and parameters of the probabilistic distribution of the state of each vehicle. The server fuse states and measurements into an augmented state of the multiple vehicles and an augmented measurement of the augmented state subject to augmented measurement noise defined by a non-diagonal covariance matrix with non-zero off-diagonal elements, each non-zero off-diagonal elements relating errors in the measurements of a pair of corresponding vehicles. The server executes a probabilistic filter updating the augmented state and fuses the state of at least some of the multiple vehicles with a corresponding portion of the updated augmented state.