A system for recognizing the location of a subject, comprises a server, signal transceivers, and a tracking device. The server transmits a request and stores a map file. The signal transceivers respectively communicate with the server to receive the request, and broadcast a reference signal to the other signal transceivers. The tracking device bidirectionally communicates with the signal transceivers, and periodically sends a tracking signal. After each of the signal transceivers obtains the first received signal strength indicator corresponding to the received reference signal and the second received signal strength indicator corresponding to the received tracking signal, each transmits the first signal strength indicator and the second signal strength indicator to the server. The server determines relative position information for the at least one tracking device within the map file according to the first signal strength indicators, the second signal strength indicators, and location information from the signal transceivers

A method may include obtaining connection-related data associated with user equipment (UE) devices operating in a network, wherein the UE devices include unmanned aerial vehicles (UAVs) and devices other than UAVs. The method may include storing the connection-related data; identifying, in the stored connection-related data, data associated with known UAVs and filtering the stored connection-related data based on a distance associated with a known UAV. The method may further include training a machine learning classifier using the filtered data and executing the machine learning classifier to identity UAVs operating in the network.

An interference detection system in a network identifies a first wireless station that has experienced radio frequency (RF) interference from an unknown source on at least one physical resource block (PRB) by determining that a key performance indicator (KPI) for the at least one PRB on the first wireless station has a value indicative of interference. The interference detection system identifies one or more second wireless stations that have experienced similar interference on the at least one PRB. A plurality of estimated interference source locations are determined based at least on geographic locations of the first wireless station and the one or more second wireless stations. Determining the plurality of estimated interference source locations further comprises generating a boundary based on the geographic locations of the first wireless station and the one or more second wireless stations and selecting a plurality of estimated interference source locations within the boundary.

A system for localizing a transmitting wireless device within a known volume, the system including antennae deployed in respective locations at least some within the known volume, each of the antennae operative to receive and output a signal from the transmitting device; analog-to-digital converter/s; and a processor receiving digital sampled received signals and computing real time output parameter/s as function of: sampled received signals S, received from the transmitting wireless device at antenna i; and of sampled signals, received from the transmitting wireless device at antenna j and sampled, simultaneously with reception at antenna I and sampling of sampled received signals S, function being independent of power level at which transmitting device is transmitting, and to estimate transmitting wireless device's location within volume by comparing the parameter/s to reference output parameters respectively having known correspondence to known possible locations/s within volume, for at least two of the antennae.

An apparatus obtains fingerprints that have been collected by at least one mobile device for supporting a positioning of other mobile devices. Each fingerprint comprises results of measurements on radio signals of at least one communication node at a particular location and an indication of the particular location. The apparatus determines a positioning quality that can be achieved in a positioning which is based on obtained fingerprints collected by the at least one mobile device. The apparatus generates, based on the determined positioning quality, a feedback to a user of the at least one mobile device, the feedback indicating whether further fingerprints should be collected.

Various embodiments are described herein for methods and systems that can be used to track a position of a mobile receiver on a production line. In one example embodiment, the position of the mobile receiver is tracked by receiving at least information signal from at least one location tag from among a plurality of location tags positioned at fixed locations along the length of a conveyor belt in a production line, by determining a signal strength of the at least one information signal, and by determining the position of the mobile receiver based on the signal strength of the at least one information signal.

In a system a map of a site is presented on a display. A user input specifying at least one path section in the map on the display is detected. A definition of the at least one path section is stored. A representation of a radio environment stored for the site is provided as positioning assistance data. The representation of the radio environment enables a determination of a location estimate for a mobile device at the site based on at least one characteristic of at least one radio signal detected by the mobile device at the site. The definition of the at least one specified path section is provided for enabling an adjustment of a determined location estimate.

A device obtains at least one characteristic of at least one radio signal detected at a mobile device that is located at a particular site and a representation of a radio environment for the site and a definition of at least one specified path section for the site. The at least one path section has been specified by a person in a map presented on a display. The device determines a location estimate for the mobile device based on the at least one characteristic of the at least one radio signal and based on the representation of the radio environment for the site and adjusts the determined location estimate based on the definition of at least one specified path section.

A mobile device can identify its physical location without explicit knowledge of physical coordinates, but instead using sensor measurements dependence on distance, e.g., signal strength from a Wi-Fi router. Sensor measurements can be used to determine the mobile device is at a same physical location as a previous measurement. For example, numerous measurements of sensor values can form data points that are clustered in sensor space, where a cluster of data points in sensor space corresponds to a physical cluster of physical positions in physical space. A current physical location of the mobile device can be determined by identifying which cluster of sensor positions the current measurements correspond. To identify the cluster of sensor positions, a probability can be determined for each cluster based on a sensor distance between the current measurement and a representative data point of the cluster and a kernel function.

A method for identifying a suggested application on a mobile device is disclosed. The method includes detecting an event, determining a first location of the mobile device, identifying that the first location is within a first location region of a plurality of predetermined location regions, and then measuring one or more sensor values at one or more times. The measured sensor values may then be used to create a first-data point. In response to identifying the first location region, a plurality of clusters of data points may be retrieved. A first cluster of the plurality of clusters corresponding to the first data point may then be identified. The method may further include identifying a set of one or more applications, and then providing a message to the user based on the identified set of one or more applications.