A method for estimating a position of a vehicle (100) relative to one or more radio transceivers (150). The method including the steps of; obtaining propagation delay data associated with radio transmission between a vehicle transceiver (110) included in the vehicle (100) and the one or more radio transceivers (150); obtaining vehicle motion data related to a trajectory of the vehicle (100); identifying one or more multipath components, MPC, in the propagation delay data, the MPC relates to a radio transmission propagation path between a fixed radio transceiver (150) and the vehicle transceiver (110); determining an MPC track for each identified MPC based on the vehicle motion data and on the propagation delay data, MPC track representing evolution of an MPC over time; and estimating the position of the vehicle (100) relative to the one or more radio transceivers (150) based on the MPC tracks.

The disclosure relates to a pre-5.sup.th-Generation (5G) or 5G communication system to be provided for supporting higher data rates Beyond 4.sup.th-Generation (4G) communication system such as long term evolution (LTE). Disclosed is a method of determining a User Equipment, UE, location wherein the UE is in communication with at least two base stations (gNB) of a telecommunication network, comprising the steps of: determining at least one of: a) Angle of Arrival, AoA, of a signal from the UE at each of the at least two gNBs; b) Angle of Departure, AoD, of a signal from each of the at least two gNBs; c) AoA of a signal from each of the at least two gNBs at the UE; and d) AoD of a signal from the UE at each of the at least two gNBs; and determining the UE position on the basis thereof.

A radio frequency identification (RFID) system includes an array of antennas to distinguish line-of-sight (LOS) paths from non-line-of-sight (NLOS) paths. The distance between adjacent antennas in the array of antennas is less than half the wavelength of the radio frequency (RF) signal of the system. Each antenna in the antenna array is also digitally controlled to change relative phase difference among the antennas, thereby allowing digital steering of the array of antennas across angles of arrival (AOAs) between 0 and π. The digital steering generates a plot of signal amplitudes as a function of AOAs. LOS paths are distinguished from NLOS paths based on the shapes (e.g., depth, gradient, etc.) of local extremes (e.g., maxima or minima) in the plot.

Wireless communication between two electronic devices may be used to determine a distance between the two devices, even in the presence of an otherwise-disruptive attacker. A wireless receiver system of one device may receive a true wireless ranging signal from a first transmitting device and a false wireless ranging signal from an attacker. The wireless receiver system may correlate the wireless signals with a known preamble sequence and perform channel estimation using the result, obtaining a channel impulse response for the wireless signals. The wireless receiver system may filter the channel impulse response for the plurality of wireless signals by removing at least part of the channel impulse response due to the false wireless ranging signal while not removing at least part of the channel impulse response due to the true wireless ranging signal. The receiver system may perform a wireless ranging operation using the filtered channel impulse response.

A communication device for RF based communication with another communication device, said communication device comprising circuitry configured to apply a fine timing measurement, FTM, procedure. The circuitry is configured to determine an FTM mode out of at least two different FTM modes, and to perform an FTM procedure to determine the round trip time, RTT, between the communication device and the other communication device, wherein the RTT is determined by evaluating a time information of a tap of the channel impulse response, wherein the tap used for the evaluation depends on the determined FTM mode.

The technology provides for a pair of earbuds. For instance, a first earbud may include a first antenna, and a second earbud may include a second antenna. The pair of earbuds may further include one or more processors configured to receive, from the first antenna, a first signal from a beacon, and receive, from the second antenna, a second signal from the beacon. Based on the first signal and the second signal, the one or more processors may determine at least one signal strength. The one or more processors may determine a position of the user relative to the beacon based on the at least one signal strength.

A wireless communications device (100) includes a wireless interface (122) for conducting wireless communications with one or more network nodes (110) of a wireless communications network (102). The wireless communications device (100) further includes a control circuit (118) configured to receive a plurality of reference signals transmitted by the one or more network nodes (110), measure the plurality of reference signals to generate a plurality of positioning measurements, associate the plurality of positioning measurements with beam information, and select a set of positioning measurements with associated beam information for determining a positioning estimate of the wireless communications device (100).

Methods and systems related to neural networks or other function approximators operate for training a neural network is provided, or another function approximator, for inferring a predetermined time of arrival of a predetermined transmitted signal on the basis of channel-impulse-responses, CIRs, of transmitted signals between a mobile antenna and a fixed antenna, the method having: obtaining a channel impulse response condition characteristic, CIRCC, descriptive of channel impulse responses of transmitted signals associated with mobile antenna positions within a reach of the fixed antenna; generating, by simulation, a training set of simulated CIRs which are associated with different times of arrival in one or more simulated scenes, and which fit to the CIRCC; training the neural network, or other function approximator, using the simulated CIRs and the different associated times of arrivals to obtain a parametrization of the neural network, or other function approximator, associated with the CIRCC.

An area determination system includes a decision unit, a calculation unit, and a determination unit. The decision unit decides, based on a strength of a radio signal transmitted from a transmitter and received by a receiver, a location of the transmitter. The calculation unit calculates a presence determination value. The presence determination value is based on a number of times that the location of the transmitter is determined to be in a presence determination region during a presence determination time period. The presence determination region corresponds to a target area. The determination unit, when a presence condition is satisfied, determine that the transmitter is in the target area. The presence condition is that a state where the presence determination value is greater than or equal to a presence threshold continues for a presence determination time.

In some implementations, a method may comprise obtaining channel state information (CSI) data corresponding to a set of RF signals received by one or more receiving devices, wherein: the set RF signals comprises two or more reflected RF signals successively received by the one or more receiving devices after being reflected from a person, and the two or more reflected RF signals are received by the one or more receiving devices over a period of time. The method may further comprise determining an identity of the person based at least in part on an observed gait of the person and an observed shape of the person, wherein the observed gait of the person and the observed shape of the person are determined based at least in part on the CSI data. The method may further comprise outputting an indication of the determined identity of the person.