Embodiments of systems and methods for estimating direction of arrival are disclosed. A device includes a signal processing unit that includes processing circuitry and memory coupled to the processing circuitry, where the processing circuitry includes multiple vector processing units, each vector processing unit configured to receive an antenna input vector, receive an angular spectrum vector, retrieve a first and second weighting vectors from the memory, generate a processed antenna input vector by performing a circular convolution of the antenna input vector with the first weighting vector, generate a processed angular spectrum vector by performing a circular convolution of the angular spectrum vector with the second weighting vector, and generate a refined angular spectrum vector, which indicates angular position of one or more radar targets, by applying a non-linear activation function to a sum of the processed antenna input vector and the processed angular spectrum vector.

An electronic device wirelessly communicates with a terminal device by a wireless communicator, and includes a direction information acquisition unit and a processor. The direction information acquisition unit acquires, based on a beacon signal received by the wireless communicator from the terminal device, direction information related to a direction of the terminal device with respect to a reference position of the electronic device. The processor performs wireless connection of wirelessly connecting to the terminal device when the processor determines that, based on the direction information, the terminal device is positioned in a predetermined direction range.

An electronic device wirelessly communicates with a terminal device by a wireless communicator, and includes a direction information acquisition unit and a processor. The direction information acquisition unit acquires, based on a beacon signal received by the wireless communicator from the terminal device, direction information related to a direction of the terminal device with respect to a reference position of the electronic device. The processor performs wireless connection of wirelessly connecting to the terminal device when the processor determines that, based on the direction information, the terminal device is positioned in a predetermined direction range.

Disclosed is a high-resolution accurate two-dimensional direction-of-arrival estimation method based on coarray tensor spatial spectrum searching with coprime planar array, which solves the problem of multi-dimensional signal loss and limited spatial spectrum resolution and accuracy in existing methods. The implementation steps are: constructing a coprime planar array; tensor signal modeling for the coprime planar array; deriving coarray statistics based on coprime planar array cross-correlation tensor; constructing the equivalent signals of a virtual uniform array; deriving a spatially smoothed fourth-order auto-correlation coarray tensor; realizing signal and noise subspace classification through coarray tensor feature extraction; performing high-resolution accurate two-dimensional direction-of-arrival estimation based on coarray tensor spatial spectrum searching. In the present method, multi-dimensional feature extraction based on coarray tensor statistics for coprime planar array is used to implement high-resolution, accurate two-dimensional direction-of-arrival estimation based on tensor spatial spectrum searching, and the method can be used for passive detection and target positioning.

Embodiments of the disclosure provide a method and device for positioning a communication device. According to embodiments of the present disclosure, the communication device may determine, without phase information of the signals, a direction of other communication device based on an association between strength levels of signals received from the other communication device and angles at which the signals are received for better accuracy. According to embodiments of the present disclosure, the communication device may determine the direction of the other communication device without phase information of the received signals based on MUSIC algorithm. According to the embodiments of the present disclosure, the method may also be implemented in a multipath scenario.

Techniques for determining a location of a client device using recursive phase vector subspace estimation are described. One technique includes receiving a plurality of angle-of-arrival (AoA) measurements from a plurality of access points (APs). Each AoA measurement includes a plurality of entries for phase values measured from a signal received from a client device at the plurality of APs. At least one AoA measurement of the plurality of AoA measurements that includes at least one of: (i) one or more entries with missing phase values and (ii) one or more entries with erroneous phase values is identified, based on a recursive phase estimation. The plurality of AoA measurements are updated based on the identified at least one AoA measurement. The location of the client device is determined, based on the updated plurality of AoA measurements.

A probe laser beam causes molecules to transition from a ground state to an excited state. A control laser beam causes molecules in the excited state to transition to a laser-induced Rydberg state. Microwave lenses convert a microwave wavefront into respective microwave beams. The microwave beams are counter-propagated through molecules so as to create a microwave interference pattern of alternating maxima and minima. The microwave interference pattern is imposed on the probe beam as a probe transmission pattern. The propagation direction of the microwave wavefront can be determined from the translational position of the probe transmission pattern; the intensity of the microwave wavefront can be determined by the intensity difference between the minima and maxima of the probe transmission pattern.

Disclosed is a method comprising selecting a reference point associated with a position of a terminal device (302), determining a timing offset associated with one or more first antenna panels (304), wherein the timing offset is determined based at least partly on the reference point, and applying the timing offset to the one or more first antenna panels (305).

The present disclosure relates to a positioning method using a sidelink, and a device. According to one aspect, a method of performing positioning through a sidelink by a vehicle terminal can comprise the steps of: receiving a request positioning reference signal (PRS) from a positioning terminal; determining the positioning terminal-based direction angle on the basis of the request PRS; determining a response PRS ID corresponding to the request PRS ID of a request RRS, on the basis of the determined direction angle; and transmitting a response PRS corresponding to the determined response PRS ID. The vehicle terminal is capable of communicating with at least one of another vehicle terminal, a UE related to an autonomous driving vehicle, the BS or a network.

The present disclosure describes a self-positioning system, a tracking beacon and a self-positioning method for a vehicle. The self-positioning system is configured to estimate an direction of arrival of a radio wave tracking beacon signal arriving at an antenna array of the vehicle from a non-stationary tracking beacon unit, estimate Euclidian distance between the self-positioning system and the tracking beacon unit by using wireless radio-frequency communication between the self-positioning system and the tracking beacon unit, and determine position data identifying a three-dimensional position of the self-positioning system with respect to tracking beacon unit on the basis of the estimates of the direction of arrival and the Euclidian distance.