A method and system for estimating a position of a mobile device is disclosed. In particular, a method and system in which the position of a mobile device is determined using measurements of received Global Navigation Satellite System, GNSS, satellite signals is disclosed. The present invention therefore proposes to qualify a received satellite signal based on whether a signal propagation characteristic of this signal falls within an expected range of this characteristic. The expected range is determined using information about the satellite that sent the signal. The position of the mobile device is computed based on the validated satellite signals.

The invention relates to a navigation system for a motor vehicle for ascertaining a navigation position, having: a plurality of receivers for receiving respective position data of a plurality of different navigation satellite systems, an inertial measuring unit for ascertaining an inertial position of the navigation system, a receiving unit for receiving correction data, an additional receiving unit for receiving certified position data, a device which is coupled to the plurality of receivers, the inertial measuring unit, the receiving unit, and the additional receiving unit so as to transmit signals, wherein the device is designed to ascertain the navigation position on the basis of the position data, the inertial position, the correction data, and the certified position data. The invention additionally relates to a method which can be carried out by the navigation device in particular.

A sensor control method includes: obtaining first indication information, where the first indication information indicates a first scenario; determining a configuration parameter of at least one sensor based on the first indication information, where the configuration parameter is corresponding to the first scenario; and sending the configuration parameter to the at least one sensor. The sensor control method may be applied to automatic driving or intelligent driving, and may be specifically applied to assisted driving or unmanned driving. The sensor can be flexibly controlled through configurable parameters of sensors such as radar or a camera.

A high-accuracy positioning method and a corresponding positioning system and positioning terminal are provided, and may be used in the field of intelligent vehicle technologies. In this positioning method, a real-time kinematics (RTK) positioning technology and a multi-receiver constraint MRC positioning technology are used to determine a location of a to-be-positioned target. In this positioning method, an RTK error correction model and an MRC error correction model may be preconstructed according to a big data technology. The RTK error correction model is used to provide a correction value for an original detection value obtained based on the RTK positioning technology. The MRC error correction model is used to provide a correction value for an original detection value obtained based on the MRC positioning technology. Then, the correction values are used to calculate the location of the to-be-positioned target.

A kinematic positioning system configured to determine position coordinates of moving bodies by receiving positioning signals from positioning satellites, comprises an on-vehicle device configured to calculate the position coordinates of one of the moving bodies based on carrier wave phases of the positioning signals received from the positioning satellites, and a ground management device configured to transmit correction data used to calculate the position coordinates to the on-vehicle device in response to a request from the on-vehicle device. The on-vehicle device executes a first processing sequence of performing precise point positioning computation by acquiring precise orbit data of each positioning satellite from any of the positioning satellite and the ground management device, and calculating the position coordinates, and a second processing sequence of sending the ground management device a pseudorange concerning a positioning satellite selected from the positioning satellites, a carrier wave, and the position coordinates of the one moving body, performing the precise point positioning computation by acquiring the correction data from the ground management device, and calculating the position coordinates. The on-vehicle device selects the position coordinates having a smaller data error out of the position coordinates calculated in the first processing sequence and the position coordinates calculated in the second processing sequence as the position coordinates of the one moving body.

A GNSS receiver receives GNSS signals from satellites of a plurality of Global Navigation Satellite Systems, and a front end section thereof outputs corresponding navigation signals. A plurality of baseband processing channels receive and process the navigation signals so as to output navigation measurements which are divided and grouped into a plurality of sets. Each of a plurality of first application processing blocks receives a respective set of the navigation measurements and calculates a navigation solution. A general application processing block receives and compares the navigation solutions from the plurality of first application processing blocks, determines if there is a faulty navigation solution which is inconsistent or substantially different from other navigation solutions, discards the faulty navigation solution, produces a common navigation solution based on the remaining or non-faulty navigation solutions, and suspends, for a predetermined time period, use of the navigation measurements corresponding to the faulty navigation solution.

A wearable training computer comprising a processing circuitry configured to determine a location of the wearable training computer based on received location information. Based on the location of the wearable training computer, the processing circuitry is further configured to select a satellite positioning system configuration used for determining the location of the wearable training computer during a physical exercise.

In one embodiment, the present invention includes a method of receiving and decoding military L2 or L1 P(Y) or M-Code signals and re-transmitting these in real-time as legacy L1-C/A signals. The decoding process of the P(Y) or M-code is done through the programming by the user of secret keys into an embodiment of this invention. These military code signals are then decoded into standard PVT/PNT information which are typically transmitted on an industry standard serial port and format, which are then re-encoded using a real-time GPS simulator sub-system as legacy L1-C/A code signals, and transmitted to the output of the embodiment of this invention as a standard antenna signal. This output signal could be made compatible with any commercial L1-C/A code GPS receiver, and may thus be decoded by the GPS receiver as if the signals had been received directly from the Satellites. In one application of this embodiment of this present invention the legacy GPS receiver does not know the difference and cannot differentiate between signals generated by this embodiment of the present invention versus true GPS satellite signals received by a real GPS antenna. This embodiment of the present invention allows efficient replacement of legacy GPS antennae without having to change any of the system, setup, cabling, or programming of the legacy GPS receiver system. Another embodiment of this present invention may receive Glonass, BeiDou, or Galileo signals, and output legacy GPS signals to allow a glueless retrofit of legacy GPS receivers to Glonass, BeiDou, or Galileo compatibility.

First information is obtained from a sensing device at a first time. The first information corresponds to a radio signal received at the device from a candidate location. The device is at a first location at the first time. Second information is obtained from the device at a second time. The second information corresponds to a radio signal received at the device from the candidate location. The device is at a second location at the second time. A system determines that a pattern is in each of the first and second information and determines relationships between the candidate location and the device at each first and second location. The system obtains inverses of the relationships and determines estimates of the received radio signals based on the information and inverses. The system measures or estimates energy emitted from the candidate location based on the estimates.

In a case where a magnitude of a speed difference vector is smaller than a threshold in a state where a fixed solution is obtained continuously for a first time, a processor outputs a current RTK positioning solution as current coordinates of a moving object. On the other hand, when the magnitude of the speed difference vector is equal to or greater than the threshold in a state where the fixed solution is obtained continuously for the first time, the processor outputs a DR solution as the current coordinates of the moving object.