Device and method can be provided for emulating a system which includes a wireless channel, a wireless transmitter, and a wireless receiver. For example, with an emulation processor, it is possible to receive baseband data, process the received baseband data, and transmit the processed baseband data. Further, with a controller, it is possible to receive configuration information pertaining to the wireless channel, the wireless transmitter, and the wireless receiver to be emulated; and configure the emulation processor according to the received configuration information.

Disclosed is an electronic device, including a housing, a first communication circuit disposed in the housing and configured to support omnidirectional wireless communication, a second communication circuit disposed in the housing and configured to support directional wireless communication using beamforming, a processor disposed in the housing and operatively coupled to the first communication circuit and the second communication circuit, and a memory disposed in the housing and operatively coupled to the processor. The processor may be configured to receive at least one first radio signal through a communication channel from an external device capable of supporting the omnidirectional wireless communication and the directional wireless communication using the first communication circuit, determine a state of the communication channel based on at least part of the at least one first radio signal, and activate the second communication circuit based on at least part of the determined state of the communication channel wherein the second communication circuit is configured to receive a second radio signal from the external device.

A wireless apparatus includes a channel estimation part that acquires an estimated impulse response which is an estimate value of an impulse response of a channel between a wireless terminal and the wireless apparatus, a tap location error detection part that detects a tap location error between estimated impulse responses at different time points out of the estimated impulse responses, and a channel prediction part that calculates a predicted impulse response which is an impulse response of the channel at a future time point by using the estimated impulse responses and the tap location error.

Provided are a method and apparatus for determining a delay compensation value, a device, and a computer-readable storage medium. The method includes: obtaining a channel frequency domain impulse response of a transmit link, where the transmit link is obtained by combining at least two hardware modules in a transmit circuit, obtaining a time domain impulse response according to the channel frequency domain impulse response, and determining a delay compensation value of the transmit link according to a preset condition and the time domain impulse response.

An apparatus and method for providing a decision feedback equalizer are disclosed herein. In some embodiments, a method and apparatus for reduction of inter-symbol interference (ISI) caused by communication channel impairments is disclosed. In some embodiments, a decision feedback equalizer includes a plurality of delay latches connected in series, a slicer circuit configured to receive an input signal from a communication channel and delayed feedback signals from the plurality of delay latches and determine a logical state of the received input signal, wherein the slicer circuit further comprises a dynamic threshold voltage calibration circuit configured to regulate a current flow between output nodes of the slicer circuit and ground based on the received delayed feedback signal and impulse response coefficients of the communication channel.

A method and an apparatus for identifying transmitting radio devices from a plurality of radio deviceswithin a video feed is described. At least one radio signal identifying a transmitting radio device is received, from the plurality of radio devices. A video feed identifying radio deviceswithin a field of view of the computer vision (CV)system is received, from the CV system. A first set of features is extracted from the received at least one radio signal and a second set of features is extracted from the received video feed. The first set of features and the second set of features are provided as an input to a machine learning (ML) algorithm to obtain a relationship between the transmitting radio device and the radio devicesidentified in the video feed.

Techniques are provide for neural network based positioning of a mobile device. An example method for determining a line of sight delay, an angle of arrival, or an angle of departure value, according to the disclosure includes receiving reference signal information, determining a channel frequency response or a channel impulse response based on the reference signal information, processing the channel frequency response or the channel impulse response with a neural network, and determining the line of sight delay, the angle of arrival, or the angle of departure value based on an output of the neural network.

A method and electronic device for motion assisted leakage removal. The electronic device includes a radar transceiver, a sensor, and a processor. The processor is configured to determine that the electronic device is in a first motion state, During the first motion state, the processor is configured to transmit a first set of signals. The processor is also configured to generate a first channel impulse response (CIR) based on the received first set of signals. The processor is further configured to apply a filter that estimates a leakage depicted by the first CIR. During a second motion state, the processor is configured to transmit a second set of signals. Additionally, the processor is configured to generate a second CIR based on the received second set of signals, and apply the estimated leakage from the first CIR to the second CIR to remove leakage from the second CIR.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a first network node may receive, from a second network node, codebook information that indicates a plurality of beams associated with an oversampled transmitter network node beamforming codebook. The first network node may transmit a beam selection report that indicates at least one suggested transmission beam associated with the oversampled transmitter network node beamforming codebook, wherein the beam selection report is based at least in part on a channel estimate that is obtained without obtaining beam measurements associated with beams that are associated with the oversampled transmitter network node beamforming codebook. Numerous other aspects are described.

A threshold condition formed relative to the strongest peak (e.g., in a signaled DL-PRS-specific search window) is used in the search for the first peak to be used for Time of Arrival (TOA) estimation. Such a threshold condition may be used with DL-PRSs that are homogenous or inhomogeneous, and in each of these combined (or not) with cyclic shifts. In so doing, the solutions 0 (100, 200, 300, 400) presented herein avoid detecting false peaks.