Systems and methods are provided for utilizing a connector to connect an external antenna to a mobile device. GNSS signals, associated with at least two different frequency bands, may be received at the external antenna and the GNSS signals may be transmitted to a connector module of the connector. The connector module may convert analog GNSS signals to generate digital radio frequency (RF) signals. The connector module may encrypt the digital RF signals to generate encrypted digital RF signals. The encrypted digital RF signals may be transmitted from the connector module to the mobile device. A multifrequency GNSS functionality module of the chipset may utilize decrypted digital RF signals to obtain GNSS raw measurements. The multifrequency GNSS functionality module and/or an application executing on the mobile device may utilize the GNSS raw measurements to compute position, velocity, and/or time (PVT).

The present disclosure discloses a charging station, an intelligent robot, and a charging system. The charging station includes a control chip, a charging apparatus, and a differential positioning apparatus. The charging apparatus is electrically connected to the control chip, and the differential positioning apparatus is communicatively connected to the control chip, where the control chip is configured to receive first observation information and position information of the charging station sent by the differential positioning apparatus, and send the first observation information and the position information to an intelligent robot, and configured to control the charging apparatus to charge the intelligent robot.

Global positioning system (GPS) receivers, along with a user device with a camera, can be used to determine an elevation of a point of interest on or within a structure. The user device and a first GPS receiver can be located somewhere outside the structure from which the structure is clearly visible. A second GPS receiver can be located on, within, or near the structure. The user device receives location data from both GPS receivers and calculates a distance between the two. The user device then takes a digital photograph in which structure is visible and notes the photo capture angle. The user device then calculates the elevation of the point of interest trigonometrically using the calculated GPS distance and the photo angle. The user device can then automatically insert this information into associated documentation and transmit the same.

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.

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.

A method comprising receiving, at a receiver, a plurality of signals from at least one remote source and selecting at least one selected signal in the plurality of signals. The method determines, using the at least one selected signal, a position of the receiver and receives correction data for improving the position of the receiver to a sub-wavelength accuracy. The method further determines motion of the receiver, generates, from the at least one selected signal, a motion-compensated correlation signal based on the determined motion of the receiver and uses the motion-compensated correlation signal to either (1) select the at least one selected signal to be used to determine the position of the receiver, (2) correct at least one of motion sensor errors or clock errors, or (3) both (1) and (2). Embodiments include a positioning system for performing the method.

A method comprising receiving, at a receiver, a plurality of signals from at least one remote source and selecting at least one selected signal in the plurality of signals. The method determines, using the at least one selected signal, a position of the receiver and receives correction data for improving the position of the receiver to a sub-wavelength accuracy. The method further determines motion of the receiver, generates, from the at least one selected signal, a motion-compensated correlation signal based on the determined motion of the receiver and uses the motion-compensated correlation signal to either (1) select the at least one selected signal to be used to determine the position of the receiver, (2) correct at least one of motion sensor errors or clock errors, or (3) both (1) and (2). Embodiments include a positioning system for performing the method.

A GNSS data collection system includes a pole mounted GNSS receiver and inclination sensors. A data collection module provides a data collection graphical user interface (GUI) visible on a hand-held data collector computer. The data collector computer is communicably coupled to the GNSS receiver and receives three-dimensional location data and inclination data for the range pole in real-time. A virtual level component uses the inclination data to display on the GUI real-time tilt information in the form of a virtual bubble level indicator. The inclination data and height of the range pole are used to calculate and display horizontal distance and direction to level the GNSS receiver.

A GNSS data collection system includes a pole mounted GNSS receiver and inclination sensors. A data collection module provides a data collection graphical user interface (GUI) visible on a hand-held data collector computer. The data collector computer is communicably coupled to the GNSS receiver and receives three-dimensional location data and inclination data for the range pole in real-time. A virtual level component uses the inclination data to display on the GUI real-time tilt information in the form of a virtual bubble level indicator. The inclination data and height of the range pole are used to calculate and display horizontal distance and direction to level the GNSS receiver.

Cell-based augmented reality (AR) content positioning systems may include a reference grid of cells, each of which includes a 32-bit intracellular coordinate system based on a respective reference point of the cell. Cell topology is selected such that the intracellular coordinate systems may utilize single-precision floating point numbers while retaining the ability to define content positions with, e.g., millimeter-level precision. Accordingly, rendering of AR content may be performed at a high precision using 32-bit devices and methods.