Patent classifications
H04L25/0212
Channel Estimation in a Wireless Communication System
Radio equipment (10) is configured for tap separated channel estimation in a wireless communication system. The radio equipment (10) obtains a channel estimate (16) of a radio channel over which a reference signal (12) is received, and separates the channel estimate (16) into channel estimate components (20) that correspond to respective channel taps (22). The radio equipment (10) then compensates the channel estimate components (20) for Doppler shifts respectively associated with the channel taps (22) to which the channel estimate components (20) correspond. The radio equipment (10) processes the compensated channel estimate components (32) separately. Such processing comprises filtering, interpolating, and/or extrapolating. The radio equipment (10) then de-compensates the processed channel estimate components (34) for the respective Doppler shifts, and forms a combined channel estimate (42) of the radio channel by combining the de-compensated channel estimate components (38).
NEURAL NETWORK BASED LINE OF SIGHT DETECTION FOR POSITIONING
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.
METHOD AND SYSTEM FOR SELECTING IMPORTANT DELAY TAPS OF CHANNEL IMPULSE RESPONSE
A method and a system for selecting important delay taps of channel impulse response are provided, which belong to the field of adaptive transmission technology of wireless communication. The method performs local predictability estimation on all delay taps in the channel impulse response in wireless communication, thereby selecting the important delay taps in the channel impulse response. The disclosure uses recurrence rates of the delay taps to estimate local predictability of the delay taps. Noise delay taps are distinguished from the important delay taps through the local predictability of the delay taps, which improves the identification rate of the important delay taps of the channel impulse response in wireless communication. The disclosure may implement the selection of the important delay taps of the channel impulse response, which provides guarantee for implementing adaptive transmission and adaptive coding of wireless communication.
DOPPLER SPREAD ESTIMATION BASED ON SUPERVISED LEARNING
A radio receiver includes a channel estimator processing circuit including: a feature extractor configured to extract one or more features from a received signal, the features including a channel correlation estimated based on a reference signal in a current slot, the estimated channel correlation indicating a rate of change of a wireless channel over time; and a Doppler spread estimator configured to estimate a Doppler spread of the wireless channel by supplying the features to one or more Doppler shift predictors trained on training data across a training signal-to-noise ratio (SNR) range and across a training Doppler shift range, each Doppler shift predictor being trained on a portion of the training data corresponding to a different portion of the training data.
PDP ESTIMATION FOR BUNDLE-BASED CHANNEL ESTIMATION VIA LEARNING APPROACH
A method of channel estimation for a precoded channel includes generating an initial frequency autocorrelation of the precoded channel for a current bundle of a received data transmission, generating an expanded frequency autocorrelation based on the initial frequency autocorrelation of the precoded channel, providing the expanded frequency autocorrelation to a neural network, generating, by the neural network, an estimated frequency autocorrelation of an unprecoded channel based on the expanded frequency autocorrelation, and generating an estimated power distribution profile of the unprecoded channel based on the estimated frequency autocorrelation.
Aperiodic and cross component carrier positioning reference signals
Methods, systems, and devices for wireless communications are described. The described techniques relate to improved methods, systems, devices, and apparatuses that support aperiodic and cross component carrier positioning reference signals (PRSs). Generally, the described techniques provide for receiving a dynamic trigger indicating that a user equipment (UE) is to monitor for one or more downlink PRSs. The UE may generate a timing measurement for the downlink PRSs, and may transmit a measurement report that indicates the timing measurement to a transmission/reception point. A UE may also transmit a capability indicator, indicating that the UE is capable of maintaining phase coherence for a PRS that spans multiple component carriers, receive control signaling that indicates multiple component carries on which the PRS is phase coherent, generate a timing measurement for the PRS based on the control signaling, and transmit a measurement report that indicates the timing measurement to the transmission/reception point.
DETECTING A MOVING OBJECT BASED ON A PHASE OF CHANNEL IMPULSE RESPONSES
A moving object detector detects a moving object in a channel. The detection comprises the detector receiving a plurality of frames based on a transmitter transmitting a plurality of frames over a channel. One or more channel impulse responses (CIRs) of the channel is determined based on the received plurality of frames. The detector determines a CIR phase for each of the CIRs and a phase signal is formed based on a phase value of the CIR phase for each of the CIRs. The detector compares the phase signal with a target signal and detects the moving object in the channel based on the comparison.
Method and System for Designing a Waveform for Data Communication
Embodiments herein disclose a method and system for designing a waveform for data communication. The method includes applying, by a phase rotation applying unit, a constellation specific phase rotation between consecutive data symbols in a data stream to obtain a constellation rotated data stream. Further, the method includes introducing, by a frequency domain pulse shaping filter, an inter symbol interference (ISI) between modulated data symbols of the constellation rotated data stream, such that the ISI develops the waveform of the constellated rotated data stream to be transmitted.
Method and System for Designing a Waveform for Data Communication
Embodiments herein disclose a method and system for designing a waveform for data communication. The method includes applying, by a phase rotation applying unit, a constellation specific phase rotation between consecutive data symbols in a data stream to obtain a constellation rotated data stream. Further, the method includes introducing, by a frequency domain pulse shaping filter, an inter symbol interference (ISI) between modulated data symbols of the constellation rotated data stream, such that the ISI develops the waveform of the constellated rotated data stream to be transmitted.
METHOD FOR PREDICTING THE CHANNEL BETWEEN A TRANSMITTER/RECEIVER AND A CONNECTED VEHICLE
Predicting a channel between a transceiver and a connected vehicle having a “main antenna”, dedicated to exchanges of payload data with the transceiver, and a “predictor antenna”, placed in front of the main antenna to predict the radio channel dealt with by the main antenna when reaching the current position of the predictor antenna. The method includes: selecting, using an estimate of the vehicle's speed and acceleration, for a multiplet of channel samples measured at the main antenna, a multiplet of channel samples measured at the predictor antenna, each sample of the predictor antenna being selected to correspond to a sample of the main antenna subsequently measured at the same position; calculating a criterion associating multiplets of samples measured at the main and predictor antennas; and selecting samples of the predictor antenna using a speed/acceleration pair optimizing the criterion, to predict the channel between the transceiver and main antenna.