873results about "Channel estimation" patented technology

The invention discloses a pilot optimization method for large-scale MIMO channel estimation based on structural compressed sensing. The method comprises the steps of establishing a channel estimation model for a large-scale MIMO-OFDM (Multiple-Input-Multiple-Output-Orthogonal Frequency Division Multiplexing) system when pilots are placed in an overlapping mode; simplifying the channel estimation model for the large-scale MIMO-OFDM system, thereby enabling the channel estimation model to correspond to a structural compressed sensing model; and obtaining an optimum pilot matrix through utilization of a pilot optimization algorithm. Through adoption of the optimum pilot matrix, according to the channel estimation of the large-scale MIMO system based on structural compressed sensing, the mean square errors MSEs of the channel estimation are clearly reduced, and the channel estimation performance is improved.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive configuration information for a sounding reference signal (SRS) resource set, the configuration information indicating a usage type for the SRS resource set associated with Doppler tracking and a configuration for one or more associated SRS resource identifiers. Some configuration parameters of the SRS resource set and the associated SRS resource identifiers can be dynamically reconfigured in order to allow adaptive SRS time domain pattern for enhanced Doppler parameter estimation and / or synchronization loop tracking, among other examples. The UE may transmit one or more SRSs in accordance with the configuration or dynamic reconfiguration information for the SRS resource set and the associated SRS resources based at least in part on receiving the configuration and / or reconfiguration information. Numerous other aspects are described.

Methods, systems, and devices for wireless communications are described. A wireless communication device may receive a communication signal that includes multiple layers. The signal may include at least one layer that is associated with a probabilistic shaping signal. The wireless communication device may apply one or more probabilistic shaping parameters to the communication signal and obtain a preprocessed signal. The application of the one or more probabilistic shaping parameters may include performing one or more matrix decomposition operations to obtain the preprocessed signal and a preprocessed channel estimate. The preprocessed signal and the preprocessed channel estimate may include probability information associated with the probabilistic shaping signal based on the application of the one or more probabilistic shaping parameters. Accordingly, the wireless communication device may demodulate the communication signal based on the preprocessed signal information.

The invention discloses an underwater sound environment sensing method based on multi-array-element sparse channel estimation. An underwater sound receiving end receives signals transmitted through an underwater sound multipath channel through a multi-array-element array; performing Hilbert transform on the receiving signal of each array element to obtain an analysis signal, and calculating a cross-correlation function of the analysis signal and the transmitting signal; based on the cross-correlation function, sparse channel parameters, including path amplitude and time delay, of each array element are estimated by adopting an orthogonal matching pursuit algorithm combined with a constant false alarm detection dynamic threshold value; the method comprises the following steps: constructing an array response vector by using sparse channel parameters of a multi-array element array, and searching and estimating angles of arrival, including a direction angle and a pitch angle, of a multipath signal through a spatial spectrum peak value; and based on the arrival angles, amplitudes and time delays of the direct path and the reflection path, inverting an underwater environment structure through a ray acoustic theory, including a reflection point distance and a reflection surface normal vector, so as to realize three-dimensional perception of the underwater reflector. According to the invention, multipath resolution can be improved, and false alarm and missing detection can be effectively reduced.

The invention belongs to the technical field of electronic search, and relates to a radio reconnaissance method and system based on multichannel parallel processing and intelligent clustering, and the method comprises the steps: carrying out the multi-phase filtering digital channelization processing of a broadband radio signal, so as to obtain adjacent channel sequences with overlapped frequency bands; performing square law detection and constant false alarm detection on each channel sequence to generate an initial pulse description word; establishing a candidate corresponding relationship in adjacent channels based on arrival time similarity and noise consistency, and determining a cross-channel merging relationship according to frequency range continuity and frequency-time relationship slope consistency to generate a complete pulse description word; performing hierarchical clustering sorting based on the arrival angle and the pulse width; and performing multi-stage differential analysis on a clustering result to extract a repetition frequency sequence and determine a repetition frequency type. According to the technical scheme, the stability and consistency of cross-channel pulse merging and sorting results can be kept under the broadband high-density condition, and the radio search processing precision under the complex electromagnetic environment is improved.

A communication method and a communication apparatus are provided. The method includes: sending motion information of a terminal device and sending time information of a first antenna in a first virtual antenna array to a network device; receiving first configuration information from the network device, where the first configuration information is used to configure a first reference signal corresponding to the motion information and the sending time information; sending the first reference signal to the network device based on the first configuration information; and receiving a first multipath angle from the network device, where the first multipath angle indicates a multipath angle at which the first reference signal reaches the network device. The first antenna is any antenna in the first virtual antenna array.

Joint denoising and compression of channel state information (CSI) feedback may be performed. An example device may include a processor configured to perform one or more actions. The device may receive configuration information that indicates a latent mode of operation and an encoder model. The device may receive CSI reference signals from a network node. The device may generate an estimated channel matrix based on the CSI reference signals. The device may generate a latent representation of the estimated channel matrix based on the latent mode of operation and the encoder model. The device may send the latent representation of the estimated channel matrix to the network node.

A method of detecting superimposed SCMA signals from multiple user equipment in a receiver of an OTFS communication system includes initializing an executing an iteration loop, in which a mean of all a posteriori estimates of the transmitted signal determined so far is calculated, which a posteriori estimates are based on the OTFS-demodulated received signal, the corresponding channel matrix, and the mean vectors and variances determined for each UE. The mean of all a posteriori estimates determined so far is used for determining vectors and variances for each UE, further using the probabilities of the non-zero elements of the respective UEs codebooks. The iteration is repeated until a termination criterion is met.

A method for channel estimation includes: receiving, by a first electronic device, a signal indicative of a state of a channel from a second electronic device, the signal being associated with a channel matrix and corrupted by a noise; obtaining a noisy image of the channel in a first domain, the noisy image being a least squares estimate of the channel matrix; transforming the noisy image into a second domain; and performing channel estimation (CE) of the channel based on (i) the transformed noisy image, (ii) a CE model configured to denoise an input signal, and (iii) a sparsity of channel state information (CSI) in the transformed noisy image in the second domain.

A method includes determining estimated features comprising second order statistics based on at least one received signal. The method also includes classifying, using a machine learning network, each channel of the at least one received signal into a channel profile based on the estimated features. The method also includes obtaining multiple minimum mean square error (MMSE) channel estimation weights from a database based on the estimated features, the database storing (i) representative MMSE estimation weights and (ii) channel cluster representatives indexed by the estimated features. The method also includes applying a respective MMSE channel estimation weight for each channel.

The invention discloses a multi-carrier underwater acoustic communication channel estimation method under time delay-scale double extension, and aims to solve the problems that a common multi-carrier underwater acoustic channel model cannot depict the influence of a Doppler effect and a traditional channel estimation method is limited in precision. A time delay-scale double-extension channel model is used to describe the influence of the Doppler effect on a multi-carrier underwater acoustic communication system, an orthogonal matching pursuit algorithm is used to separate multipath signals, and a Newton method is combined to correct the delay and size parameter estimation result of each path of a channel. And the algorithm complexity is reduced while off-grid channel estimation is realized. The depiction of the Doppler effect is more in line with a real scene, and the off-grid channel estimation and low algorithm complexity are realized, so that the channel estimation result is more accurate.

Apparatuses and methods include: receiving, by a first electronic device, a signal from a second electronic device on a channel, the received signal modified by a noise, the channel associated with a channel matrix for multiple antennas; buffering antenna data from the multiple antennas; obtaining a noisy channel based on the buffered antenna data and a least squares estimate of the channel matrix; preprocessing the noisy channel jointly across the multiple antennas; inputting the preprocessed noisy channel to a channel estimation model trained to denoise the preprocessed noisy channel; and estimating the channel matrix based on denoising of the preprocessed noisy channel.

Disclosed is a multicarrier (MC) connection design via an intelligent exploitation of the multi-user diversity in delay-Doppler domain. Overall, the technology can play a key role as an enabler technology toward 5G and beyond communications systems with applications of NR-Lite, mMTC, eMBB, URLLC and SURLLC.

This application provides a remote interference suppression method and apparatus and a device, and is applied to the communications field, to stagger a symbol location of an interfered uplink symbol, thereby reducing impact of remote interference. In addition, zero-forcing processing is performed in a direction indicated by Q pieces of phase information corresponding to the caused remote interference, to make a signal approximate 0 to suppress the remote interference, thereby reducing the impact of the remote interference. The method includes: a first network device determines that N uplink symbols are interfered with, and then configures, by using a first mapping type of a physical uplink shared channel (PUSCH), one or more symbols other than the N uplink symbols for uplink PUSCH transmission.

A method may be applied to an AI positioning scenario, a location management function network element determines, based on different positioning accuracy requirements, information related to a payload size of a channel measurement report, and indicates, to the channel measurement network element, the information related to the payload size; or the channel measurement network element obtains information about a positioning accuracy requirement from the location management function network element, and determines, based on the positioning accuracy requirement and a feature of the channel measurement result, information related to a payload size of a channel measurement report.

The embodiment of the present application provides a kind of indication method and device of reference signal, for enabling coherent joint transmission in non-ideal backhaul network.The method comprises the following steps: terminal device receives multiple first information from multiple network devices, and the first information is used to indicate that at least one reference signal of network device is used to estimate joint equivalent channel;Terminal device receives multiple second information from multiple network devices, and the second information is used to indicate the port of at least one reference signal;Terminal device receives multiple coherent joint transmission data from multiple network devices, one coherent joint transmission data includes at least one data stream and corresponding at least one reference signal;And terminal device determines at least one joint equivalent channel according to at least one reference signal of multiple network devices.

Wireless communications systems and methods related to CSI feedback are provided. A user equipment (UE) receives an indication of a restricted set of frequency domain (FD) beamforming components and one or more channel state information reference signals (CSI-RSs). The UE can transmit a channel state information (CSI) report indicating a plurality of precoding coefficients based on the received one or more CSI-RSs and the restricted set of FD beamforming components.

The embodiment of the invention provides a communication method and a related device. The method comprises the following steps: sending first information indicating a first group of reference channels to first user equipment; and receiving, from the first user equipment, second information indicating at least one first reference channel in the first group of reference channels, a distance between any one of the at least one first reference channel and a first DL channel of the first user equipment being less than or equal to a first threshold. In the application, the central device can determine the information related to the first DL channel without sending the channel measurement of the first DL channel, which can solve the problem of large signaling overhead caused by sending the channel measurement.

The present document relates to a method by which a terminal transmits and receives a signal in a wireless communication system. Disclosed is a method for transmitting and receiving a signal, comprising the steps of: receiving a signal through a first slot from a base station; transmitting, to the base station, information including hybrid automatic repeat and request acknowledgment / negative-acknowledgement (HARQ-ACK / NACK) feedback for the signal through an uplink physical channel; and receiving, from the base station, channel configuration information on the basis of the information, wherein the information includes information on whether interference cancellation of the signal succeeds, whether or not the interference cancellation of the signal succeeds is determined for every slot, and the information is transmitted from a slot next to the first slot.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive a request to apply demodulation reference signal (DMRS) bundling to uplink transmissions. The UE may transmit multiple uplink transmissions. The UE may transmit an indication of whether the UE is able to comply with the request based at least in part on whether the UE is able to maintain phase coherence across the multiple uplink transmissions. Numerous other aspects are provided.

A wireless communication device includes a radio-frequency integrated circuit (RFIC), one or more processors including processing circuitry, and a memory storing instructions. The instructions, when executed by the one or more processors individually or collectively, cause the wireless communication device to receive, via the RFIC, a reception signal including a plurality of subcarriers, and calculate a first log-likelihood ratio (LLR) based on a frequency domain. The plurality of subcarriers include a first subcarrier and a second subcarrier adjacent to the first subcarrier. The calculation of the first LLR includes to measure a channel variation between the first subcarrier and the second subcarrier, determine a second linear detection matrix of the second subcarrier, based on the channel variation, and calculate the first LLR based on at least one of a first linear detection matrix of the first subcarrier and the second linear detection matrix. The first subcarrier is a pivot subcarrier.

A user equipment (UE) is configured to perform channel estimation. The UE operates in a current channel estimation mode comprising either one of a first mode or a second mode, wherein the first mode comprises receiving first reference signals (RS) having a first RS overhead and wherein the second mode comprises receiving second reference signals (RS) having a second RS overhead, receives a network indication to switch from the current channel estimation mode to a new channel estimation mode comprising the other one of the first mode or second mode, transmits an acknowledgment to the network that the network indication was received and switches from the current channel estimation mode to the new channel estimation mode in accordance with the network indication.

Embodiments of this application provide a communication method and related apparatuses. The method includes: transmitting to a first user device first information indicating a first set of reference channels; and receiving from the first user device second information indicating at least one first reference channel in the first set of reference channels, and a distance between any one of the at least one first reference channel and a first DL channel of the first user device is less than or equal to a first threshold.

A channel estimator circuit receives in one slot a multiplexed representation of one or more time- domain code division multiplexed, TD-CDM, spread received signals. An initial estimator circuit processes a pre-estimation signal that is formed therefrom, uses a base pilot signal as a reference signal, and outputs an initial estimate signal. A frequency-domain processing circuit receives and processes a first set of one or more TD-CDM spread channel estimate signals that is representative of the initial estimate signal, and outputs a second set of signals. An interpolation buffer buffers the second set of signals. A TD-CDM de-spreading circuit de-spreads the buffered second set of signals and outputs TD- CDM de-spread channel estimate signals. In this manner, the frequency-domain-related signal processing and the time-domain-related signal processing are separated, and a significant reduction in the amount of hardware, energy and time resources required may be achieved, improving latency and reducing cost.

A modem chip includes a radio frequency integrated circuit (RFIC) configured to receive a data signal and a reference signal through a precoding resource block group (PRG) including a plurality of first subcarriers to which the data signal is allocated and a plurality of second subcarriers to which the reference signal is allocated, and a processor configured to calculate a delay spread value of the data signal by using the reference signal, determine one of two threshold values, adjacent to the delay spread value, of a plurality of threshold values as a maximum threshold value corresponding to the delay spread value, and calculate an adjustment log likelihood ratio (LLR) of each of at least one first subcarrier among the plurality of first subcarriers, based on an adjustment coefficient corresponding to the maximum threshold value.

A method and system for improving channel estimation for multi-user, multiple-input, multiple-output (MU-MIMO) systems through dynamic DM-RS port allocation in a 5G New Radio network is provided. The method comprises of allocating, by a Scheduler aware UE port allocation unit, one or more MU-MIMO ports to a plurality of code division multiplexing (CDM) groups for a plurality of UE users, performing, by a code selection unit, a code selection based on a number of allocated MU-MIMO ports, determining, by a spreading factor unit, a spreading factor allocated for each of the MU-MIMO ports in each of the plurality of CDM groups, determining, by a signalling unit, a Downlink Control Information (DCI) signalling of a Partial Port Occupancy (P-Poi) transmission for each UE and obtaining, by a channel estimation unit, channel estimates at the receiver through VSFOCC de-spreading based on the P-POI assigned for each of the MU-MIMO ports.

This invention provides an adaptive method and system for fast spatial spectrum estimation of multipath channels. The method includes: S1, using a linear uniform array as the receiving array, with the first element in the array as the reference element, deriving the broadband signal model and steering vector matrix received by the array; S2, constructing a fitness function, and using the dung beetle algorithm to search for the optimal fractional Fourier transform order of the received signal from the reference element; S3, performing the optimal fractional Fourier transform on the received signal of the array; S4, finding the coordinates (u) corresponding to the maximum value. p ,v p S5. Energy detection: Set a threshold for comparison. If the threshold is met, it indicates that the location of this point is a component of the multipath; otherwise, the algorithm ends. S6. Use the CLEAN algorithm to separate the multipath components. The center frequency of its narrowband filter is u. p S7. Use the MUSIC algorithm to estimate the incident angle of the multipath components; S8. Mask the strongest component among the current multipath components and return to repeat steps S4 to S7 until all components are estimated.

This invention discloses an echo channel estimation method based on adaptive filtering, belonging to the field of wireless communication. First, channel estimation of the mixed signal is performed using pilot signals. Then, a correlation algorithm is used to estimate the impulse response of the echo channel to obtain an estimated value of the echo channel. Next, the estimated echo channel value is used to calculate the echo signal and perform channel estimation of the near-end transmitted signal. This value is then subtracted from the first channel estimate to obtain a second estimate of the channel through which the near-end signal passes. Finally, a partial estimate of the near-end signal is calculated using the pilot signals and the second estimate, and this value is subtracted from the received signal to obtain an estimated value of the echo signal, which is then fed into an adaptive filter to update the filter coefficients. This invention fully utilizes pilot channel estimation in OFDM signals and combines it with adaptive filtering to achieve effective echo channel estimation in two-talk scenarios, reducing the bit error rate under echo interference.

The disclosure relates to a method and device for detecting at least one target, comprising: transmitting a sensing signal; obtaining a first channel estimation result corresponding to an echo signal of the sensing signal; obtaining a second channel estimation result based on the first channel estimation result; based on the first channel estimation result and the second channel estimation result, performing over-threshold detection based on a threshold value being used to obtain an index subset related to target(s); and obtaining an over-threshold detection result based on the index subset related to the target(s).

A system can utilize a first common physical uplink control channel (PUCCH) format 1 communication format for broadband cellular communications with user equipment via a channel. The system can estimate a first channel characteristic based on performing channel estimation on the channel over uplink signals, which comprises a Doppler spread. The system can estimate a second channel characteristic based on the performing of the channel estimation over uplink signals, which comprises a delay spread. The system can determine a number of symbols for a second common PUCCH format 1 communication format with the user equipment based on the first channel characteristic. The system can determine a group of initial cyclic shift indices for the second common PUCCH format 1 communication format with the user equipment based on the second channel characteristic. The system can communicate with the user equipment according to the second common PUCCH format 1 communication format.