43 results about "Channel parameter" patented technology

The application discloses a wireless communication channel parameter measurement method and system, comprising the following steps: obtaining a sending signal based on a PN sequence of a wireless transmitting end; obtaining an influence of a channel impulse response based on the sending signal; performing convolution on the sending signal and the influence of the channel impulse response to obtain a receiving signal; obtaining autocorrelation outputs of different channels based on the receiving signal and the PN sequence; and obtaining path loss of the channel based on the autocorrelation outputs of the different channels. Compared with the traditional channel measurement activity using a special channel measurement instrument or a VNA, the device cost is greatly reduced, the manpower and material resources cost of the measurement activity is low, and a large amount of channel data can be obtained according to different experimental schemes.

This invention relates to the field of wireless communication network optimization technology, specifically to an antenna layout and relay configuration optimization method based on a channel prediction surrogate model. The method includes: acquiring a digital twin environment model of the area to be optimized; constructing an original sample set by calculating channel parameters between candidate antennas and relay nodes through ray tracing; training and constructing a channel prediction surrogate model using improved sparse Gaussian process regression; and using location parameters as input and output channel quality indicators. A joint decision vector for antenna, relay location, and transmit power is defined, and an optimization objective function for total system capacity and deployment cost is defined. The surrogate model is embedded in Bayesian optimization as a fast evaluator, and the joint decision vector is iteratively sampled and evaluated. After convergence, the optimal layout configuration scheme is output. This method replaces real-time simulation with a dedicated surrogate model, achieving multi-parameter joint optimization and improving the efficiency of channel evaluation and optimization iteration.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive an indication of a configuration for multiple sets of prioritization parameters for a random access channel (RACH) procedure. A first set of prioritization parameters of the multiple sets of prioritization parameters may be associated with a higher priority network slice than the other sets of prioritization parameters (e.g., than the remaining sets of prioritization parameters). The UE may detect a trigger to perform a RACH procedure and select the first set of prioritization parameters for the RACH procedure based on the first set of prioritization parameters being associated with the higher priority network slice. The UE may perform the RACH procedure for the network slice according to the first set of prioritization parameters.

This invention provides a robust resource scheduling method, apparatus, and device for satellite communication systems, relating to the field of wireless communication technology. The method includes: acquiring real-time environmental data and the channel coefficients at the current moment; determining the channel parameters corresponding to the real-time environmental data using an environment-parameter correspondence table, the channel parameters including the channel time correlation coefficient and the innovation process variance; calculating the statistical characteristics of the channel coefficients at the time to be transmitted based on the channel coefficients and channel parameters at the current moment; constructing a probabilistic constraint relationship using a one-sided Chebyshev inequality based on the statistical characteristics and a preset confidence parameter, calculating the minimum channel carrying power gain at the time to be transmitted that satisfies the preset probability guarantee; and performing resource scheduling based on the minimum channel carrying power gain at the time to be transmitted using a robust proportional fair scheduling algorithm. This invention can improve resource scheduling efficiency.

This invention discloses a method, system, and storage medium for extracting subsurface channel parameters based on layered recovery and step-by-step uplift. The method includes: preprocessing a sound velocity profile to form a standardized sound velocity profile; searching for candidate local minima; for each candidate local minima, searching for sound velocity sampling points that satisfy the stable recovery condition from the lowest qualified recovery layer upwards and downwards; if both sides exist and the waveguide thickness is greater than a preset thickness threshold, it is determined as a candidate subsurface channel; starting from the lowest qualified recovery layer, the target recovery layer is gradually increased, and the stable recovery determination is repeated until either side no longer satisfies the determination of the highest common recovery layer and the characteristic parameters are calculated; when there are multiple candidates, the output is selected according to the representativeness rule. This invention unifies the existence determination and parameter extraction under the physical constraints of bilateral stable recovery, solving the problems of easy interference and boundary instability in the prior art, and has the advantages of accurate identification and strong anti-interference ability.

Described is a system and method for performing multiplexing of signals in a network, where the method comprises: sending configuration information from one or more node to one or more user resource; providing, to the one or more resource, a set of one or more carriers over which to transmit one or more signal; generating a scheduled transmission sequence for signal transmission in a time domain based on the configuration information and the set of one or more carrier frequency; transmitting the one or more signal from the one or more resource to the one or more node in dependence on the scheduled transmission sequence; estimating, at the one or more node, one or more channel parameter of the one or more resource in dependence on the transmitted signals; and updating the configuration information based on the one or more estimated channel parameters.

The application discloses a kind of based on distributed photovoltaic direct current channel's detection package channel estimation and equalization method, including step 1, transmit detection package to receiving end, according to the feedback of receiving end to carry out channel estimation, obtain channel response;Step 2, according to the channel response, the data to be transmitted is compensated, obtain the data after compensation, and the data after compensation is transmitted to receiving end;The data to be transmitted includes baseband data;Step 3, receiving end carries out de-noise equalization to the data after compensation received, obtains the baseband data sent by transmitting end.The method calculates the approximate value of channel without noise influence under the environment with noise, and the transmitting end realizes equalization according to the approximate value of channel.In the receiving end, de-noise channel estimation and equalization are realized, channel parameters and noise parameters are processed separately, mutual influence is greatly reduced, channel estimation and equalization performance are improved, and basic technical support is provided for the safety, efficiency improvement and operation and maintenance of rapidly developing distributed photovoltaic power station.

This invention relates to the field of channel communication technology, specifically disclosing a method for improving the communication performance of plasma sheath channels based on fountain code soft decoding. After establishing a plasma channel model, the amplitude attenuation function follows a log-normal distribution, and the phase shift function follows a Gaussian distribution. The probability densities of the amplitude attenuation function and the phase shift function are calculated respectively. Then, combined with the plasma channel model, the conditional probability density of the plasma sheath channel for matched filtering of the received signal is calculated. The log-likelihood ratio in the plasma sheath channel under BPSK modulation of ideal channel information is calculated, as well as the likelihood probability value and log-likelihood ratio of the received signal under unknown plasma sheath channel parameters. This determines the initial values ​​for iteration, which are then used for fountain code soft-decision decoding. This invention enables the reuse of usable information in discarded fountain code packets, thereby further improving the utilization rate of fountain code packets and enhancing the overall communication efficiency of the plasma sheath channel.

The application discloses a kind of DNA storage in prior information VT code iterative decoding method, system and storage medium, it is related to DNA storage technical field.The method is first obtained systematic code word sequence by VT code, generates noisy reception sequence by ID model simulation channel transmission;Again, joint grid chart is constructed and initialized, and soft information and bit decision information are obtained by completing SISO decoding calculation, and channel parameters are updated based on MAP drift tracking;After convergence by iterative control, multiple independent estimated code words are obtained, and finally original information sequence is recovered by multi-sequence majority voting fusion.The application constructs decoding-estimation closed-loop iteration framework, does not need prior channel parameters, can adaptively learn channel characteristics, capture error hot spot, improve decoding robustness by combining multi-sequence fusion, realize original data high reliability recovery, and promote DNA storage practicality.

The application relates to an iterative channel estimation method of a constant envelope modulation system based on DBD decomposition, which comprises the following steps: S1, DBD decomposition is carried out on a constant envelope modulation signal to obtain a decomposition form of the constant envelope modulation signal, and then sampling is carried out on a received signal to obtain a sampling result; S2, an initial estimation value of a channel parameter is obtained; S3, Viterbi demodulation and LDPC decoding are carried out to obtain bit information; S4, a reconstruction signal is generated; S5, the channel parameter is re-estimated to obtain a new channel estimation result; and S6, the new channel estimation result is taken as a current channel estimation result, and S3-S5 are repeated. Compared with the prior art, the application has the advantages of effectively reducing time complexity and space complexity, improving channel estimation performance and the like.

The embodiment of the application provides a kind of automation test control method and system of multi-channel amplitude-phase amplification module, belong to electronic test technical field.The method comprises: obtaining the amplitude response data and the phase response data of each channel in multi-channel amplitude-phase amplification module under preset test excitation condition, and constructs channel reference parameter set;Sequence influence model is constructed, and the test execution order of each channel is optimized;The amplitude-phase test is executed to each channel, the amplitude response data and the phase response data of each channel at current time are obtained, and virtual reference channel parameter is constructed;The amplitude response data and the phase response data of each channel are corrected in consistency, and the corrected amplitude-phase parameter of each channel is obtained, and the amplitude-phase test result corresponding to each channel is generated based on corrected amplitude-phase parameter.The application scheme realizes the unified alignment and error suppression of multi-channel amplitude-phase test result, improves test consistency and stability.

A method performed by a wireless device or user equipment (UE) includes: receiving configuration and / or indication of Channel State Information Reference Signal (CSI-RS) or Tracking Reference Signal (TRS) resources from a network node; the method further includes receiving configuration and / or indication and / or scheduling of transmissions to a downlink (DL) channel or reference signal (RS), wherein the source reference signal (RS) for a quasi-co-location (QCL) assumption for the transmission of the DL channel or RS is the CSI-RS or TRS resource; or configuration and / or indication and / or scheduling of transmissions to an uplink (UL) channel or RS, wherein the reference for calculating or estimating path loss to calculate uplink (UL) transmit (Tx) power is the CSI-RS or TRS resource. The method further includes receiving one or more Transmission Configuration Indication States (TCI states) or QCL assumptions for updating the CSI-RS or TRS resources, or physical layer (PHY) signaling or media access control (MAC) signaling or higher-layer signaling that causes such updates. The method further includes applying the updated TCI state or QCL assumption to the CSI-RS or TRS resource or to resources in a CSI-RS or TRS resource set. The method also includes applying at least one of the determined or acquired values ​​after applying the TCI state or QCL assumption to the CSI-RS or TRS resource.

The application discloses a dynamic key negotiation and encryption method and system for a power wireless private network, and relates to the technical field of power communication security. The method comprises the following steps: a terminal device collects first channel characteristic parameters, generates a first random number, generates a device fingerprint through a physically unclonable function, generates a temporary key pair by taking the first random number and the device fingerprint as an entropy source, and sends a negotiation request; a base station collects second channel characteristic parameters for consistency comparison, generates a shared key raw material after matching, generates a session key through a hash operation by combining channel parameters, a base station identifier and the device fingerprint, and returns a response; and the terminal generates the same session key to complete negotiation. The terminal generates a chaotic sequence by taking the session key as a seed and combining the device fingerprint, and encrypts power service data by using an authentication encryption algorithm. The physically unclonable function is used to replace a software pseudo-random number generator, so that the problems of insufficient entropy source and easy prediction of a key of a resource-restricted power terminal are solved.

This invention relates to the field of ultrasonic array driving and control technology, and discloses a multi-channel array ultrasonic phase synchronization control system based on FPGA. The system includes a host computer parameter configuration module, a communication interface module, a parameter receiving and parsing module, a parameter latching and synchronization update module, a multi-channel delay phase control module, a Burst excitation output module, and a transducer drive output interface module. The host computer generates delay parameters, channel enable parameters, and excitation parameters for each channel and sends them to the FPGA. The FPGA receives and parses the parameters and writes them into a buffer register group. At a preset update time, these parameters are uniformly loaded into the working register group, ensuring that the parameters of each channel take effect synchronously. Each channel outputs an excitation signal according to the corresponding delay parameters under a unified clock reference, and the Burst control forms a multi-channel pulse train output to drive the array ultrasonic transducer to emit ultrasonic waves according to a predetermined phase relationship.

The application discloses a kind of lightweight beamforming methods based on unsupervised MLP, belong to wireless communication field, including: according to the ISAC signal sent by base station, the perception signal-to-noise ratio of communication signal-to-noise ratio and ISAC signal echo signal at target is constructed;According to ISAC signal and communication signal-to-noise ratio, the target optimization problem of perception signal-to-noise ratio is constructed;Solving target optimization problem obtains target beamformer;Channel parameters in communication signal-to-noise ratio and perception signal-to-noise ratio are input into the lightweight network based on multilayer perceptron trained, and phase control vector is obtained;According to phase control vector, target phase shift matrix is obtained;According to target beamformer and target phase shift matrix, the perception signal-to-noise ratio of maximum echo signal is obtained.The application can effectively balance communication and sensing performance, both have lower computational complexity, and have better performance, improve the perception signal-to-noise ratio of echo signal.

Methods, systems, and apparatus for wireless communication are described. A user equipment (UE) can receive an indication of a time slot format configuration for multiple time slots, wherein the multiple time slots include one or more half-duplex time slots and one or more full-duplex time slots. The UE can receive control signaling indicating a first or more parameters associated with half-duplex operation and a second or more parameters associated with full-duplex operation, wherein the first or more parameters and the second or more parameters are uplink control channel parameters related to power control or spatial resource allocation. The UE can transmit uplink messages based on the time slot format configuration and according to the first or more parameters or the second or more parameters during uplink resource periods within the multiple time slots.

The application provides a 5G base station virtual power plant feasible region aggregation method based on coupling degree clustering, belongs to the flexible resource aggregation field, and comprises the following steps: a super-dense heterogeneous 5G base station network model containing macro base stations and micro base stations is constructed, and base station positions, user distribution, channel parameters and service quality constraints are obtained; the base station coupling degree concept is proposed; the coupling degree is used as the similarity measurement, the greedy clustering idea is adopted, the k-means++ optimization initial value is used as the initial clustering center, the remaining base stations are sequentially grouped into the cluster with the maximum coupling degree, the clustering is iterated, and the dynamic grouping is realized according to the flow prediction change; for each base station cluster, the base station communication energy consumption and energy storage resources that can be reduced are combined, the multi-objective optimization is used to solve the adjustable power internal distribution feasibility, and the cluster-level feasible region is obtained. The application significantly improves the accuracy and efficiency of the 5G base station virtual power plant feasible region aggregation, and provides key technical support for the large-scale participation of 5G base stations in the power system auxiliary service market.

Embodiments of the present disclosure relate to a base station (BS) and method for communication in a communication network. The method comprising signaling at least one antenna port number from multiple antenna port numbers to a UE. Also, the method comprises receiving a data and a reference signal (RS) corresponding to the UE. The data and the RS are received on one or more receive antennas of the BS, wherein the RS comprises occupied RS subcarriers and null subcarriers. A location of occupied RS subcarriers and null subcarrier positions are selected according to signaled antenna port. Next, channel parameters are estimated using the occupied subcarriers associated with the received RS, and interference plus noise parameters using the null subcarriers. Thereafter, equalizing the received data on the receive antennas using the measured channel parameters and the interference plus noise parameters for interference rejection and data detection.

This invention relates to a NOMP-based RIS-assisted millimeter-wave MIMO system channel estimation method, belonging to the category of channel estimation methods. Taking the downlink of a RIS-assisted millimeter-wave MIMO system as an example, the channel model of the base station (BS)-RIS and the RIS-mobile station (MS) is represented as a concatenated channel model in Khatri-Rao product form. One-dimensional NOMP, two-dimensional NOMP, and least squares (LS) algorithms are used to estimate multiple parameters in the concatenated channel, thereby achieving channel estimation. The advantages are that the proposed RIS-assisted millimeter-wave MIMO system channel estimation method estimates channel parameters with lower pilot overhead, providing effective CSI for RIS-assisted systems; applying the NOMP method to RIS-assisted millimeter-wave MIMO channel estimation can solve the grid mismatch problem existing in traditional compressed sensing algorithms, improve the accuracy of joint parameter estimation, and thus improve the channel estimation accuracy.

This disclosure relates to a method, apparatus, device, chip, and medium for determining channel parameters, belonging to the field of wireless communication technology. The method includes: determining target received signals at multiple pilot positions from a received signal; performing channel estimation based on known pilot signals and the target received signals at the multiple pilot positions to obtain estimated information of the channel frequency domain response at the corresponding pilot positions; determining target-related information based on the estimated information of the channel frequency domain response at each pilot position; and determining the target channel parameters corresponding to the target-related information based on the mapping relationship between the pre-learned related information and channel parameters. Therefore, based on the pre-learned mapping relationship, accurate and efficient conversion from target-related information to target channel parameters can be achieved, significantly reducing the computational complexity required to determine the target channel parameters, helping to shorten data processing time, meeting the needs of real-time communication, and optimizing the user experience.

This invention discloses a channel estimation method for a flexible antenna array-assisted ISAC system. It constructs a multidimensional tensor channel model that integrates antenna rotation parameters. The received signals are then stacked into a tensor form with a Vandermonde structure. A two-stage parameter estimation framework is employed: the first stage utilizes the translation invariance of the tensor in the time delay dimension to achieve initial estimation of time delay and Doppler shift using the ESPRIT algorithm; the second stage performs tensor normalized multilinear decomposition within a Bayesian probabilistic framework, introduces hierarchical sparse priors to adaptively determine the model rank, and performs joint fine estimation of multidimensional channel parameters such as angle of arrival, departure angle, time delay, Doppler shift, and reflection coefficient. Simulation results show that this invention has higher estimation accuracy and stability under complex channel and low signal-to-noise ratio conditions, and is suitable for broadband large-scale ISAC systems assisted by flexible antenna arrays.

The application provides an indoor positioning method and device and a storage medium, relates to the field of terminal positioning, and can solve the problem of poor accuracy of determining the position information of a to-be-measured point. The method comprises the following steps: acquiring a CSI-RS, the CSI-RS being used for evaluating the channel parameters of the CSI-RS; performing channel estimation processing on the CSI-RS to obtain an estimation result of the channel parameters, the estimation result comprising real-time AoA data and real-time ToF data of at least one to-be-measured point path; and determining the position information of the at least one to-be-measured point path based on the estimation result of the channel parameters. The application embodiment is applied to a terminal positioning process.

This invention discloses a semi-blind direct localization method for thermal noise communication systems, comprising: based on the frequency domain received signal model of the thermal noise communication system, utilizing the statistical characteristics of the received signal to construct a maximum likelihood estimation problem concerning the mobile station position and channel fading coefficient, obtaining an objective function containing logarithmic determinant terms and trace function terms of a matrix; the objective function simultaneously includes a contribution from pilot power and an expected contribution from the power of the received data signal; using an optimization minimization algorithm framework, alternately solving for the mobile station position and channel fading coefficient until a preset convergence condition is met, obtaining the localization result; wherein, by constructing a substitution function containing the statistical characteristics of blind pilots and data, a closed-form solution for the channel parameters is derived in each iteration, and the mobile station position is updated through a two-dimensional grid search. This invention mines the statistical information of the data portion, effectively improving the utilization rate of the received signal and increasing the localization accuracy under low signal-to-noise ratio conditions.

The application provides a channel parameter determination method, device, equipment and system, and belongs to the technical field of wireless communication. In the method, an access point collects channel related information of a station, uses the channel related information and an AI model to determine and issue channel parameters used by the access point and the station when communicating to the station to the station. In this way, the channel related information is closely related to the channel parameters, the AI model can directly determine all the channel parameters using the channel related information without iteration, so that the channel parameters can be quickly obtained, and the efficiency of determining the channel parameters is improved.

The invention relates to a method for key matching during physical-layer key generation (PLK) to align the key bit patterns obtained by measuring parameters of a physical channel. Ideally, the channel parameters are characterized by reciprocity, which, after quantization, would result in identical key bit sequences on both sides of a communication link. However, differing characteristics of the communication devices and uncorrelated noise lead to deviations that can be corrected by the method according to the invention, which maximizes efficiency and minimizes the error rate. This is achieved without having to introduce safety intervals instead of quantization limits or resort to code-based methods (Slepian-Wolf coding).The method according to the invention determines displacement values ​​by publicly communicating certain values ​​and ultimately the displacement range, without compromising safety. Another variation of the method allows for the shifting of the key bit sequences into arbitrary quantization intervals by changing the shift distance, thereby achieving a uniform distribution of the key bit sequences. This also does not compromise security.

The application discloses a kind of adaptive nonlinear compensation method and system for high-speed wavelength division system, the method includes: obtaining the transmission signal to be processed and the channel parameter of corresponding transmission channel;According to the channel parameter, a plurality of compensation coefficient prediction models are screened out in candidate model library;According to all the compensation coefficient prediction models, the nonlinear coefficient corresponding to the transmission signal is determined;According to the nonlinear coefficient and the transmission signal is compensated using the preset low-pass filter algorithm, to obtain compensation signal.

Aspects of the disclosure relate to random access procedures. An apparatus (e.g., a user equipment) may identify one or more network slices based on at least one of an access category of the apparatus, an identifier of the one or more network slices, or an index value of the one or more network slices. The apparatus may select a random access channel (RACH) configuration from a set of RACH configurations based on at least one of an access identity of the apparatus or the identified one or more network slices. The apparatus may transmit a random access message based on the RACH configuration.

This invention relates to a channel estimation method for ultra-large-scale intelligent metasurfaces (XL-RIS)-assisted terahertz (THz) systems based on tensor decomposition. Specifically, it includes: designing a joint training protocol for XL-RIS phase shift and multi-user pilot signals; acquiring uplink received signals and constructing their covariance matrix; deriving an approximate expression for the near-field XL-RIS array response and designing a sampling scheme based on the spatial structure of the signal covariance to achieve effective decoupling of channel parameters; proposing an angle estimation algorithm based on tensor decomposition to recover angle parameters at the XL-RIS location using channel sparsity; designing a distance estimation algorithm based on truncated singular value decomposition (t-SVD) to search for distance parameters using the estimated angles; and finally, using least squares to estimate path loss and reconstruct the complete channel. This invention achieves high-precision channel estimation with low training overhead, effectively solving the estimation problem of strongly coupled near-field channel parameters, and providing an efficient solution for channel modeling and system design of XL-RIS-assisted near-field THz systems.

Techniques for estimating channel parameters of a wireless channel between an AP and UE. A method is performed by a network node configured to control the AP. The method includes acquiring, at a first timeslot, channel parameters from measurements on a first reference signal sent on the wireless channel. The method includes acquiring, at a second timeslot, subsequent and adjacent to the first timeslot, measurements on a second reference signal sent on the wireless channel. The method includes estimating the channel parameters at the second timeslot using sparse signal detection based on the measurements on the second reference signal converted into an angle domain derived from the channel parameters acquired at the first timeslot.

This invention discloses a distributed XL-MIMO near-field channel estimation method and system based on a cooperative mechanism. In the distributed XL-MIMO near-field system, reference access points and non-reference access points are divided. A unified near-field parameterized expression model for Loss-of-Stake (LoS) and Non-LoS (NLoS) components is constructed by characterizing the coupling relationship between angle and distance parameters. A channel parameter correlation mapping mechanism is established based on the access point deployment topology. LoS component cooperative parameter estimation is completed using a uniform quantization codebook and continuous domain gradient correction. After cancelling the LoS components, a sparse representation model of the NLoS components is constructed, and NLoS component cooperative parameter estimation is achieved through sparse reconstruction and continuous domain gradient correction. Finally, the near-field channel of each access point is reconstructed. This invention reduces parameter dimensionality and pilot overhead, improving the channel estimation accuracy and robustness of the distributed XL-MIMO near-field system.