Methods, systems, and devices for wireless communications are described. A first wireless device may receive situational information for a second wireless device over a first communication link between the first wireless device and the second wireless device and situational information for a third wireless device over a second communication link between the first wireless device and the third wireless device. The first wireless device may transmit message with guidance information to the second wireless device on behalf of the third wireless device and based on the second wireless device and the third wireless device having an event likelihood above a threshold. The event likelihood may be based on the situational information for the second wireless device and the situational information for the third wireless device.

Techniques are described herein for developing a fingerprint map that may be used for 3D indoor localization. In one example, a network server may leverage a building footprint from an open source database with signal measurements taken by probing user devices from signal sources such as access point (AP) devices. The network server may use the signal measurements to remotely calculate corresponding 3D positions of the AP devices in a particular building. Further, the network server may use the building footprint and the calculated 3D positions of the AP devices as references for developing the fingerprint map for 3D indoor localization.

The prediction control part 204 predicts a three-dimensional position and a three-dimensional velocity of the world coordinate system of the flying ball at a specific time after the initial time as a predicted position and a predicted velocity based on initial position and initial velocity of flying ball, and an equation indicating a parabolic shape of the flying ball. The conversion control part 205 converts the predicted position into a two-dimensional position of a camera coordinate system as a temporary position. The acquisition control part 206 specifies a flying ball image and acquires a two-dimensional position of the camera coordinate system of the flying ball image as an observation position. The correction control part 207 corrects the predicted position and the predicted velocity as a corrected position and a corrected velocity based on the predicted position and the predicted velocity, the observation position, and a Kalman filter.

An internet of things is disclosed, comprising plural SDR receivers and possibly a centralised system, where one or more of the receivers may be mobile. The internet of things thus allows for a very large proportion of RF signals present within a city, for example, to be monitored and analysed for the purpose of identifying, tracking and/or preventing criminal behaviour. The receivers may be equipped with secure SDRs for increased security and privacy and the system preferably includes artificial intelligence using machine learning technology, for increased adaptability among others. The system is flexible due to the programmability of the SDRs.

Magneto-electric quasistatic (MEQS) field may be used to track positions of persons and/or objects inside metallic environments. A magneto-electric quasistatic field generator may generate a magneto-electric quasistatic field inside a metallic environment. A magneto-electric quasistatic field detector inside the metallic environment may detect the magneto-electric quasistatic field and generate output signals conveying characteristics of the magneto-electric quasistatic field. The relative position of the magneto-electric quasistatic field detector with respect to the magneto-electric quasistatic field generator may be determined based on the output signals. The position of the magneto-electric quasistatic field detector/generator and/or the position of a person/object carrying the magneto-electric quasistatic field detector/generator may be tracked using the relative position of the magneto-electric quasistatic field detector with respect to the magneto-electric quasistatic field generator.

Systems and methods are disclosed herein that relate to positioning in a cellular communications system. In some embodiments, a method for determining a three dimensional location of a wireless device in a cellular communications network comprises obtaining a plurality of measurements for a wireless device, where the plurality of measurements are Time Difference of Arrival (TDOA) related measurements. The method further comprises computing a three dimensional position of the wireless device using the plurality of measurements and a vertical surface model, wherein the vertical surface model is a translated and scaled version of an initial vertical surface model. The new vertical surface model provides translation and scaling of the initial vertical surface model to a suitable range before it is used to determine the three dimensional position of the wireless device such that accuracy is improved, e.g., in large rural cells.

An apparatus and method for determining position and orientation (PnO) of an object within an environment and for automatically determining a hemisphere of the object relative to a source location using an electromagnetic tracking system and a non-magnetic tracking device. The method involves seeding two candidate PnO solutions, one in each hemisphere, based on initial data from the magnetic tracker. Then, as the sensor moves within the tracking volume, both the magnetic tracker and the non-magnetic tracking device are used to track changes in each of the candidate PnO solutions and to determine a correct one of the candidate PnO solutions.

According to one embodiment, an electronic apparatus includes a processor configured to estimate positions of wireless devices communicating each other from a plurality of position candidates based on position candidate information indicating the position candidates of the wireless devices and communication information between the plurality of wireless devices located in any of the plurality of position candidates, and determine a first position among the position candidates according to a likelihood of the wireless devices estimated to be located in the position candidates.

A method performed by a system (120) for determining a position of a device (140) connected to a communication network (100) is disclosed. The method comprises obtaining a geographical area for the device based on a first position-estimation service, obtaining information on luminosity on the device over a time period, and determining a second position estimation for the device (140) based on the geographical area and on the information on luminosity, by comparing the information on luminosity over the time period to a 3D model of the geographical area, the 3D model comprising models of 3D objects of the geographical area and a model of sunlight shining onto the models of the 3D objects over the time period. Disclosed is further a corresponding system and a position-determining method performed by a communication device.

An apparatus, method and computer program are disclosed. The apparatus may include circuitry configured for receiving from a target device, at a first time instance, a set of first measurement data associated with each of a plurality of base stations and determining a first position of the target device based on the received first sets of measurement data. The circuitry may also receive from the target device, at each of one or more subsequent time instances, a second set of measurement data associated with one, or each of a smaller number, of the base stations and determining, at each of the one or more subsequent time instances, a respective position of the target device based on the position determined at a previous time instance and the second set of measurement data.