Techniques are provided for emitter geolocation. A methodology implementing the techniques according to an embodiment includes measuring phase differences between radar signals received at one or more pairs of antennas. The method also includes calculating hypothesized phase differences based on ray tracings from hypothesized emitter locations at a first set of grid points, to the antennas. The method further includes generating scores based on correlations between the measured phase differences and the hypothesized phase differences. The method further includes generating an error ellipse based on candidate grid points associated with scores that are above a threshold. The process may be repeated on a second set of grid points, bounded by the error ellipse, to generate a second set of scores. The grid point, from the second set of grid points, that is associated with the highest of the second set of scores is selected as the estimated emitter geolocation.

A location estimation system includes: a first location estimating unit configured to estimate first location information related to a target object; a second location estimating unit configured to estimate second location information related to a target object; an association determining unit configured to determine association between the target object whose location is estimated from the first location information and the target object whose location is estimated from the second location information, based on the first location information and the second location information; a weight calculating unit configured to calculate correct location information of the target object and weighting information of the correct location information, based on accuracy information of the second location information and determination results of the association; and a parameter updating unit configured to update a parameter for estimating the first location information, based on the correct location information and the weighting information.

A system for assisting drivers and riders to find each other in a ride-hailing service is provided. A driver device may communicate with a rider device. The driver device may receive GPS coordinates of the rider device such that the relative location of the rider device can be determined via GPS. In response to the rider device being within a threshold distance from driver device, the rider device and driver device can connect via Wi-Fi to share data to improve the locational ability of the system. At least one processor can receive Wi-Fi data packets from the rider device, measure and extract channel state information (CSI) from the Wi-Fi data packets, execute an angle of arrival (AoA) application to determine the angle of arrival based on the CSI, and display a location of the rider based on the determined angle of arrival from the CSI.

A method of training a predictor to predict a location of a computing device in an indoor environment incudes: receiving training data including strength of signals received from wireless access points at positions of an indoor environment, where the training data includes: a subset of labeled data including signal strength values and location labels; and a subset of unlabeled data including signal strength values and not including labels indicative of locations; training a variational autoencoder to minimize a reconstruction loss of the signal strength values of the training data, where the variational autoencoder includes encoder neural networks and decoder neural networks; and training a classification neural network to minimize a prediction loss on the labeled data, where the classification neural network generates a predicted location based on the latent variable, and where the encoder neural networks and the classification neural network form the predictor.

In a method for determining a location of an electronic device, a plurality of beacon signals are received from a plurality of beacon devices at the electronic device, wherein each beacon signal of the plurality of beacon signals includes an identity of a beacon device transmitting a respective beacon signal, and each beacon device of the plurality of beacon devices has a known location. A received signal strength for each beacon signal of the plurality of beacon signals is measured. A distance of the electronic device from each beacon device for which the plurality of beacon signals is received is determined, wherein the distance of the electronic device from a beacon device is based at least in part on the received signal strength of the beacon signal transmitted by the beacon device. A location of the electronic device is determined based at least on part on the distance of the electronic device from each beacon device for which the plurality of beacon signals is received.

A method, a system, and a computer program product for localization of wireless devices. At least one of mapping and wireless data describing a physical environment is received. The physical environment includes one or more wireless access points. Using the received mapping and/or wireless data, a location of each of the wireless access points is determined. Using the determined location of the wireless access points, one or more wireless devices positioned in the physical environment are located.

A method for localizing a target device (TD) by a user device (UD) includes determining whether the TD is within a range and within a field-of-view (FoV) of the UD based on a UWB channel between the TD and the UD. In response to a determination that the TD is outside the range and not within the FoV, the method includes identifying a first electronic device. The method also includes transmitting, to the first electronic device, a request for localizing the TD using an out-of-band channel. The method further includes receiving, from the first electronic device, location information of the TD on the out-of-band channel. The location information represents a candidate location of the TD in a coordinate system of the first or a second electronic device. Additionally, the method includes identifying a TD location with respect to a coordinate system of the UD based on the candidate location.

Systems and methods are provided for a network node in a wireless communication network for generating an estimated location of a user equipment (UE). The method includes: receiving a request positioning message, determining the estimated location of the UE using a positioning technique, and adjusting the estimated location of the UE based on one or more spatial distribution probabilities associated with one or more locations in a vicinity of the estimated location.

According to one embodiment, an electronic apparatus includes a processor configured to estimate positions of a plurality of wireless devices from a plurality of position candidates based on position candidate information indicating the plurality of position candidates of the wireless devices, first communication information related to communication using a first electromagnetic wave between the plurality of wireless devices, and second communication information related to communication using a second electromagnetic wave between the plurality of wireless devices.

The location system includes two measurers apart from each other and configured to measure first and second variables in accordance with times of arrival of radio waves and first reception strengths, respectively; a memory configured to store first data associating a plurality of zones with first and second reference variables corresponding to times of arrivals of radio waves with respect to the two measurers for a case where the radio waves are transmitted from the plurality of zones, and second data associating the plurality of zones with first and second reference reception strengths with respect to the two measurers for the case where the radio waves are transmitted from the plurality of zones; and a processor configured to identify from among the plurality of zones a zone having a highest probability of including a position from where radio waves are transmitted.