A system for estimating a receiver position with high integrity can include a reference station observation monitor configured to: receive a set of reference station observations associated with a set of reference stations, detect a predetermined event, and mitigate an effect of the predetermined event; a modeling engine configured to generate corrections; a reliability engine configured to validate the corrections; an observation monitor configured to: receive a set of satellite observations from a set of global navigation satellites corresponding to at least one satellite constellation; detect a predetermined event; and mitigate an effect of the predetermined event; a carrier phase determination module configured to determine a carrier phase ambiguity of the set of satellite observations; and a position filter configured to estimate a position of the receiver.

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.

An apparatus for estimating a physical state of a movable object includes a processor receiving or determining a probability mass function including probabilities for each of a first group of at least two movement classes, wherein the movement models of the first group being determined using sensor data from the inertial measurement unit. The processor receives at least one additional probability mass function associated with a second group of at least two movement classes, wherein the additional probability mass function has been obtained using additional information different from the sensor data. The processor combines the probability mass function and the at least one additional probability mass function to obtain a combined probability mass function over the movement classes of the first group and the second group, selects a movement class having the highest probability from the combined probability mass function, and estimates the physical state of the movable object using a movement model of the selected movement class. Each movement class is either a movement state or a movement model.

A system and a method are disclosed for smoothing Global Navigation Satellite System (GNSS) data. In some embodiments, the method includes receiving a first estimate from a navigation engine of a Global Navigation Satellite System (GNSS) receiver, and processing the first estimate with a first Kalman smoother.

Infrastructure equipment for use in a wireless telecommunications network, the infrastructure equipment including: receiver circuitry configured to receive a second signal from a terminal device of the wireless telecommunications network; and transmitter circuitry configured to transmit a third signal to the terminal device, the third signal being transmitted in response to the reception of the second signal, the third signal being for the terminal device to determine, in combination with a first signal received by the terminal device, the spatial position of the terminal device, and the third signal being comprised within a system information block (SIB).

A location detection system performs a process that uses data from a satellite navigation sensor in conjunction with data from a second sensor to determine the accuracy of location estimates provided by the satellite navigation sensor. The system uses the satellite navigation sensor to determine location estimates from at a first time and a second time. The system also uses data from the second sensor to determine a third location estimate, which represents another estimate of the system's location at the second time. The system uses the three location estimates to determine whether the second location estimate satisfies an accuracy condition. If the accuracy condition is satisfied, then the second location estimate may be provided as input to a process.

Sets of digital samples associated with received wireless signals are received, each of the sets of digital samples corresponding to a particular RF path. The sets of digital samples are provided to a plurality of pipelines, each of the plurality of pipelines including a plurality of stages, each of the plurality of stages including one or more digital logic circuits. Sets of interconnect data are generated by the plurality of pipelines based on the sets of digital samples, the sets of interconnect data including at least one accumulating value. The sets of interconnect data are passed between adjacent pipelines of the plurality of pipelines along a direction. A result is generated by a last pipeline of the plurality of pipelines based on the at least one accumulating value.

An embodiment vehicle includes a signal transmission part configured to transmit a signal for wireless network connection to an outside of a shaded area where a global positioning system (GPS) signal is not received based on the vehicle having entered the shaded area and a positioning part configured to communicate with another vehicle located outside the shaded area and receiving the signal and to calculate a relative position of the vehi

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.

Low-energy consumption techniques for locating a movable object using a global navigation satellite system (GNSS) are provided. A mobile station attached to or included in a movable object can communicate bidirectionally with a fixed base station to determine a location of the movable object. The mobile station may communicate an estimated position to the base station and receive from the base station a set of GNSS satellites that are visible to the mobile station. The mobile station can acquire satellite timing information from GNSS signals from the set of satellites and communicate minimally-processed satellite timing information to the base station. The base station can determine the position of the mobile station and communicate the position back to the mobile station. By offloading much of the processing to the base station, energy consumption of the mobile station is reduced.