Disclosed are techniques for using ranging signals to determine a position of a pedestrian user equipment (P-UE). In an aspect, a UE receives a plurality of ranging signals transmitted by one or more UEs, measures one or more properties of each of the plurality of ranging signals, and calculates an estimate of the position of the P-UE based on the one or more properties of each of the plurality of ranging signals. In an aspect, the P-UE transmits a plurality of ranging signals, receives a first message and a second message from first and second vehicle UEs (V-UEs), the first and second messages including first and second estimated positions of the P-UE and associated first and second confidences, and calculates an estimate of the position of the P-UE based on the first estimated position, the first confidence, the second estimated position, the second confidence, or a combination thereof.

A building management system and method for sensor time correction is described. The system comprises multiple sensors and an energy manager communicating with the sensors. The sensors, distributed within a particular area, provide multiple time measurements in response to detecting an object traversing among the sensors in which the time measurements are associated with unsynchronized time. The energy manager identifies a predicted time for traversing among the sensors based on one or more distances between pairs of sensors and an average velocity of the object to traverse among the sensors. The energy manager determines a sensor time error for each sensor by cross-correlating the time measurements with the predicted time.

Embodiments are disclosed for localization of vehicles using beacons. In an embodiment, a method comprises: determining, using at least one processor of a vehicle, that the vehicle has lost external signals (or is receiving degraded external signals) that are used for estimating a position of the vehicle; determining, using the at least one processor, a set of mobile beacons that are available to assist in estimating the position of the vehicle; receiving, using a communication device of the vehicle, broadcast signals from the set of mobile beacons, the broadcast signals including localization data for the set of mobile beacons; selecting, using the at least one processor, a subset of localization data from the set of mobile beacons for assisting in the position estimation of the vehicle; and estimating, using the at least one processor, the position of the vehicle using the subset of localization data.

An interference detection system in a network identifies a first wireless station that has experienced radio frequency (RF) interference from an unknown source and identifies one or more second wireless stations that have experienced similar interference. A plurality of estimated interference source locations are scored based on a comparison of estimated interference to observed interference at the one or more second wireless stations. A predicted interference source location is identified based on the scored plurality of estimated interference source locations. It is determined whether the unknown interference source is a persistent interference source over a selected time period, wherein the predicted interference source location is identified for each interval in the selected time period. The predicted interference source locations for each interval in the selected time period are retrieved and an aggregated predicted interference source location is calculated based on the retrieved predicted interference source locations.

Apparatus and methods for enhanced wireless determination of a position and direction of a smart device are describe which support the display of a virtual tag upon a user interface of the smart device. Wireless transceivers controlled by the smart device communicate with reference point transceivers to generate data sufficient to determine relative positions of the wireless transceivers and a direction of interest. Operation of LIDAR may be operative to verify the position and direction of the Smart Device as well as a topography of the environment.

Systems, methods, and computer readable media that determine a location of a device using multi-source geolocation data, where the methods include accessing new location data from a location source of a plurality of location sources, where the new location data includes a new position and an accuracy of the new position, and determining a current position and an accuracy of the current position based on the new position, the accuracy of the new position, an previous current position, and an accuracy of the previous current position. The method further includes determining a change in location based on a difference between the current position and the previous current position. Some systems, methods, and computer readable media are directed to scheduling location requests to generate location data where the scheduling and the actual requests are made based on a number of conditions.

Provided is a positioning method performed by a user equipment (UE). The positioning method includes receiving reference signals from a plurality of base stations; acquiring phase difference information depending on a wavelength of at least one subcarrier among subcarriers included in the reference signals; calculating first estimated coordinates of the UE based on first phase difference information depending on a wavelength of a first subcarrier among the subcarriers; and calculating a first travel distance difference between the reference signals from the first estimated coordinates and estimating integer ambiguity of a second phase difference depending on a wavelength of a second subcarrier from the first travel distance difference.

A method for receiving device position determination includes receiving beamformed position reference signals (BF-PRSs) on a plurality of communications beams from at least two transmitting devices in accordance with a BF-PRS configuration, making at least one observed time difference of arrival (OTDOA) measurement in accordance with the BF-PRSs on the plurality of communications beams, and transmitting OTDOA feedback including the at least one OTDOA measurement.

Determining when an estimated altitude of a mobile device can be used for calibration or location determination. Particular systems and methods determine an area in which the mobile device is expected to reside, determine an altitude value of each section of a plurality of sections in the area, determine if the altitude values meet a threshold condition, and determine that the estimated altitude of the mobile device can be used for determining the position of the mobile device or for calibrating a pressure sensor of the mobile device when the altitude values meet the threshold condition.

A method for configuring a resource for a positioning-purpose reference signal and a user equipment includes: receiving resource configuration information of a plurality of positioning-purpose reference signals sent by a network device; wherein the resource configuration information is at least configured to indicate positions of frequency domain resources of the positioning-purpose reference signals transmitted by the terminal; the frequency domain resources of at least two of the positioning-purpose reference signals are at different positions of one positioning frequency layer.