488 results about "Channel impulse response" patented technology

The invention discloses a rail transit operation and maintenance state data processing method and system based on artificial intelligence, particularly relates to the technical field of rail operation and maintenance management, and is used for solving the problem that the potential multipath effect degree of a tunnel area of rail transit cannot be found in advance in the prior art. A tunnel area is divided into a complex area and a common area, when a train is located in the common area, delay diffusion caused by a complex reflection path and spectrum expansion caused by dynamic Doppler frequency shift are evaluated by analyzing a high-precision channel impulse response estimation result and signal time-varying spectrum characteristics, and whether signal transmission is normal or not is judged; in a complex area, whether the tunnel curvature and the cross structure cause signal shielding and sudden fading or not is judged firstly, and if not, signal distortion caused by electromagnetic resonance is evaluated by analyzing high-order statistical characteristics. Finally, the signal delay diffusion degree and the electromagnetic resonance distortion degree are comprehensively analyzed, and the potential risk of signal transmission is evaluated.

The invention discloses an antenna control method and device and electronic equipment, and relates to the field of multimode cooperative communication, and the method comprises the steps: analyzing the characteristics of the environment around an antenna, generating an optimal polarization strategy in combination with a characteristic analysis result and a polarization switching prediction algorithm, transmitting a test signal through an antenna array controller, and recording a channel impulse response, time inversion processing is carried out on the channel impulse response, a time inversion signal and a phase compensation parameter are combined to generate a reverse emission signal, the reverse emission signal is reemitted, an optimal polarization strategy is combined to adjust the polarization state of each array element, a beam forming parameter set is generated, and the phase and amplitude of antenna equipment are adjusted through a controller. And monitoring signal strength and transmission efficiency, and generating a signal transmission performance data report. The antenna polarization switching method and device solve the technical problems that an antenna polarization switching algorithm cannot adapt to a dynamic electromagnetic environment and a multipath effect, the stability is insufficient, the signal strength is unstable, and the communication quality is affected in the related technology.

The invention relates to the technical field of communication, and discloses a high-precision measurement method for radial velocity of a shallow sea underwater acoustic target based on ray sound field reconstruction. According to the method, a multipath channel joint resolving system is innovatively constructed for the problem that the target speed measurement precision is limited due to a shallow sea complex propagation environment. According to the system, a compound ray model of shallow sea multipath sound propagation is established, and a joint representation equation containing channel impulse response and target motion parameters is constructed by analyzing a time delay-Doppler coupling mechanism of three typical paths of direct waves, water surface reflected waves and water bottom reflected waves. Especially for the multipath interference effect in the shallow sea waveguide environment, the time-frequency domain separation criterion of each path signal is deduced, and a theoretical basis is laid for feature information extraction. The method provides a new technical means for underwater target tracking and positioning, underwater acoustic communication Doppler compensation and marine environment dynamic monitoring, and particularly has an important application prospect in the fields of underwater unmanned cluster collaboration and the like.

The present disclosure discloses a geometry-based stochastic channel modeling method oriented to a wireless communication in an underground mine. The geometry-based stochastic channel modeling method generates basic parameters such as an environment and antennas; generates a three-dimensional time-varying twin-cluster channel environment, that is, a number, a distance and an angle distribution of the clusters, and the like; derives channel parameters such as a position distribution of scatterers, and a power distribution of the scatterers in the clusters; introduces a roughness of a wall and characterizes an influence caused by the rough wall from two aspects of a phase variation and an energy attenuation according to angle parameters, calculates a time-varying channel impulse response and a channel matrix, and implements a simulation channel model and analyzes a statistical characteristic of a channel. The present disclosure adopts a geometry-based stochastic channel modeling method to establish an underground mine channel model, which considers a unique channel characteristic of the rough wall and has a relatively high accuracy, a moderate complexity, and a better universality, and the statistical characteristic of the simulation has a reference value for the design for the communication system in the underground mine.

The invention discloses a vehicle positioning method and device based on fingerprint positioning and electronic equipment, and relates to the 5G technical field or other related technical fields, and the method comprises the steps: employing a plurality of receiving antennas of a base station to detect the characteristics of an uplink signal transmitted by a to-be-positioned cash truck, generating a channel impulse response fingerprint matrix CIR, a channel frequency response fingerprint matrix CFR and an angle-time delay channel frequency power fingerprint matrix ADCFP based on the uplink signal characteristics, and matching the extracted angle-time delay channel frequency power fingerprint matrix ADCFP with fingerprints in a pre-established fingerprint database to obtain a matching result; and according to a matching result, positioning the position coordinates of the to-be-positioned cash truck by adopting an improved power WKNN matching algorithm. The technical problem that in the prior art, an armor cash carrier is influenced by different environmental factors, the positioning precision is low, and the vehicle safety is reduced is solved.

The invention discloses an indoor UWB-IMU fusion trajectory tracking system and method based on factor graph optimization, and belongs to the technical field of UWB indoor positioning. The system adopts a multi-stage processing framework, and specifically comprises the following steps: firstly, collecting channel pulse response and distance information by virtue of a wireless communication system, constructing a dynamic environment sensing mechanism, and evaluating the current channel state and the availability of each base station in real time; secondly, for the ranging values of the available base stations in the NLOS environment, compensating by using historical information, and for the ranging values of the unavailable base stations, estimating and correcting by using a time step length; and finally, collaborative optimization is carried out on UWB ranging data, IMU inertial information and base station state information through an SW-FGO algorithm, so that positioning stability is ensured, and adverse effects of obstacle shielding and a multipath effect on trajectory tracking precision are reduced. The invention provides a fusion positioning system which combines the advantages of UWB and IMU, can realize the tracking of a target motion track, and is suitable for most LOS and NLOS indoor mixed scenes.

Disclosed are techniques for wireless communication. In an aspect, a wireless communication device may transmit a first reference signal. The wireless communication device may receive a second reference signal that is in response to the first reference signal, the first reference signal and the second reference signal having a same operating frequency. The wireless communication device may determine a first channel impulse response based on the first reference signal and the second reference signal. The wireless communication device may generate a measurement report for output, the measurement report including a reported channel impulse response that is based on the first channel impulse response and indicates multiple propagation paths observable from the second reference signal.

A method in a network node and a network is provided to determine line of sight, LOS, base stations for a user equipment (UE) is provided. A request is provided to at least one of the UE and a plurality of base stations to measure and report LOS detection measurements, wherein the plurality of base stations includes base stations of a serving cell of the UE. The LOS detection measurements are received from the at least one of the UE and the plurality of base stations. LOS base stations for the UE are determined based on the LOS detection measurements. An indication of the LOS base stations is transmitted to the UE.

The invention discloses a sea surface channel prediction method based on equipment pitching motion characteristics, which comprises the following steps of: in a modeling stage, setting coordinates according to a general application scene, simulating heaving and pitching motion of a transceiver according to system parameters and sea surface environment parameters, establishing SW-GBSM according to a motion track to model a channel, and obtaining channel impulse response; calculating the antenna position offset of the transceiver at the same time according to the motion trail, and obtaining the sea wave characteristics of the transceiver; and in the prediction stage, frequency domain conversion is performed on the channel impulse response of the time domain, and the sea wave characteristics SWF-TA of the transmitter and the receiver and the frequency domain channel response are spliced and then input into the SWF-GRU channel prediction network. In the SWF-GRU, the cascaded GRU updates the hidden state of itself according to an input sequence, and then the full connection layer maps the final hidden state of the GRU into a channel prediction result. According to the method, the channel modeling effect of a real sea surface environment is met, and the sea surface channel prediction performance is greatly improved on the premise of increasing relatively low calculation complexity.

The invention provides a UWB channel environment state identification method under limited mark data. The method comprises the following steps of: selecting UWB (Ultra Wide Band, Ultra Wide Band) CIR (Channel Impulse Response) data fragments, and converting UWB channel impulse response data into a two-dimensional image through continuous wavelet transform and Gramer angle field transform; the UWB channel state identification method comprises the following steps: constructing a hybrid network fusing a Vision Transform, a Wide Residual Network, a Wide ResNet and a channel attention mechanism compression and excitation (SE) module, inputting a two-dimensional image into the hybrid network, and combining the hybrid network with a semi-supervised learning algorithm SoftMatch to obtain a UWB channel state classification identification result under limited tag data. According to the method, the semi-supervised learning algorithm is applied to the UWB CIR signal-based channel state recognition task, so that the accuracy of channel state recognition can be remarkably improved under the condition of scarcity of marked data, and meanwhile, the time and economic cost required by manual marking are greatly reduced.

The invention provides a communication and perception integrated channel modeling method based on geometric statistics principle extension, and the method comprises the steps: constructing a channel simulation scene, configuring basic parameters of a channel, and obtaining large-scale parameters, communication path loss and perception sub-channel path loss, the basic parameters at least comprising the positions and speeds of a plurality of perception targets; acquiring an initial communication cluster parameter set and a sensing sub-channel cluster parameter set according to the basic parameters; according to a shared sensing sub-channel cluster parameter corresponding to a shared sensing target, correcting the initial communication cluster parameter set to obtain a corrected communication cluster parameter set including a shared communication cluster parameter, the shared sensing target being determined based on a pre-configured shared parameter; obtaining sensing cascade path loss and sensing cascade channel impulse response according to the parameters; and obtaining a communication channel impulse response according to the corrected communication cluster parameter set. Modeling depicts real sharing characteristics of communication and sensing channels, and can be well compatible with existing channel modeling standards.

An example method of ultra-wideband (UWB) sensing performed by a wireless communication device, the method comprising determining a first channel impulse response (CIR) estimation of a first frequency channel based on a radio access technology (RAT) session, wherein the RAT is different from UWB. The method also comprises determining a second CIR estimation of a second frequency channel based on a UWB session and determining a third CIR estimation of the first frequency channel based on determining a phase difference between the third CIR estimation and the first CIR estimation. The method further comprises determining a total CIR estimation for a combined frequency channel comprising the first frequency channel and the second frequency channel based on stitching the first CIR estimation, the second CIR estimation, and the third CIR estimation.

The invention relates to the technical field of terminal communication, and provides a team state synchronization method based on ad hoc network communication, an intelligent terminal and a medium, after a plurality of intelligent terminals complete team networking, a first intelligent terminal elected as a team master device broadcasts a synchronization beacon frame, enabling the second intelligent terminal to enter a corresponding working state after receiving the synchronous beacon frame; predicting whether the bit error rate in a future short time is increased or not based on the channel impulse response fed back by the second intelligent terminal and the real-time position coordinates; when the predicted bit error rate is increased, forward error correction coding redundancy is increased in a pre-sent light effect instruction, and a target light effect instruction is obtained; and the target lighting effect instruction is sent to the second intelligent terminal, so that the second intelligent terminal controls the partition lamp group to output the corresponding lighting effect according to the received target lighting effect instruction, and visual synchronization of the team state is realized. According to the method, the accuracy of light effect instruction transmission can be guaranteed, and efficient visual synchronization of the team state is realized.

The invention discloses an HRR-based acoustic fire hazard type identification method, device and equipment and a medium, and relates to the technical field of fire hazard detection, and the method comprises the steps: obtaining an original acoustic signal through transmitting a high-frequency modulation ultrasonic wave and receiving a flame region reflection echo, obtaining channel impulse response data through channel estimation, and carrying out the channel impulse response data; flame features are extracted, a heat release rate curve is calculated and generated, finally fire type identification and fire behavior stage determination are completed based on the curve, dense smoke, shielding and illumination interference can be resisted, accurate quantification of the heat release rate is realized, fire type identification and fire behavior development stage determination can be finely carried out, and the accuracy of fire behavior determination is improved. And a stable and reliable technical support is provided for fire monitoring and emergency decision making.

The invention relates to the technical field of communication, discloses a full-link channel modeling method for a high-fidelity air-sea cross-domain cluster network, and aims to solve the problem of stagnation of an air-sea cross-domain communication network simulation technology. Through a full-link channel modeling technology, influence factors of a radio channel and an underwater acoustic channel are considered, including relative distance, communication frequency, propagation loss, sea surface temperature and diffusion coefficient in the radio channel, and macroscopic multipath, microscopic multipath and Doppler frequency shift in the underwater acoustic channel. According to the method, related parameters are input, a Jakes model and Bellhop software are used for channel modeling, and finally channel impulse response is obtained through IFFT, so that the reliability and stability of a communication system in a complex environment are improved.

The invention provides a method for realizing self-adaptive reconstruction of a multi-user channel by an RIS (Remote Information System) based on a Vision Transform network. The method comprises the following steps: generating a channel impulse response matrix under a random user position based on a channel model, and solving a numerical solution of an RIS phase shift matrix when the maximum user receiving power is ensured through a deep neural network; generating a channel impulse response diagram in the local area based on the solved RIS phase shift matrix and a channel model, and training a Vision Transform network according to the channel impulse response diagram and the corresponding RIS phase shift matrix; and constructing a required channel impulse response diagram according to the user position and the mask model, and inputting the channel impulse response diagram into the trained network to realize the self-adaptive solution of the RIS phase. According to the method, the RIS phase matrix can be solved according to the required multi-user channel impulse response diagram, so that RIS self-adaptive solving under the scenes of different user positions and user numbers is realized, and an important basis is provided for realizing intelligent adjustment of a communication environment based on the RIS.

The disclosure provides systems and methods for a multi-party secret sharing protocol that includes determining device channel errors of a plurality of computing devices based on channel impulse response (CIR) of communication channels of the plurality of computing devices, training a linear regression model using the device channel errors to generate learning with error (LWE) secrets for each of the plurality of computing devices, generating a general access structure secret matrix using the LWE secrets from each of the plurality of computing devices, and distributing shares of the general access structure secret matrix to the plurality of computing devices based on a multi-party secret sharing protocol.

Provided in the present invention are a stepwise-simulation-based ray tracing modeling method and system for a reconfigurable intelligent surface (RIS) channel. The method comprises: constructing a simulation scenario, and setting simulation parameters; verifying a simulation environment layout; constructing an RIS; classifying multipaths; performing stepwise simulation to acquire multipath information; extracting a channel impulse response of the RIS; on the basis of multipath information of a first multipath and multipath information of a second multipath, extracting a channel impulse response of a cascade link of a base station, the RIS and a user to obtain a path loss, a delay power spectral density and an angular power spectral density, so as to analyze channel characteristics of an RIS channel in a delay domain and an angular domain. The present invention supports RIS channel simulation in any frequency band and any scenario, such that deterministic modeling methods for RISs are enriched, RIS channel parameters can be acquired with less manpower, fewer material resources and lower time costs, and channel characteristic analysis of simulation results has guiding significance for the application and deployment of RISs in actual communication systems.

The invention discloses a mobile underwater acoustic communication multipath channel modeling method based on sound field calculation, and relates to underwater sound waves. Channel modeling is carried out by inputting environmental parameters including an ocean sound velocity profile, submarine topography and the like, and modeling parameters including initial coordinates, motion trail equations and the like of a signal transmitting end and a signal receiving end. Performing ocean sound field calculation by adopting a ray tracing model, a normal wave model or a wave number integral model and the like, and calculating a sound field at each track sampling moment according to modeling parameters. And converting a frequency domain sound field result into a channel impulse response through inverse Fourier transform, and recovering the time-varying impulse response of the whole multipath channel by using local spline interpolation. And carrying out convolution on the transmitted signal and the time-varying impulse response of the multipath channel, and adding common propagation time delay to obtain a received signal simulation result. Through accurate sound field calculation and multipath channel modeling, the signal transmission condition in a specific marine environment can be simulated without actual marine environment measurement, the marine actual measurement cost is reduced, and the research and development efficiency is improved.

This disclosure relates to techniques for performing beam selection using machine learning assistance in a wireless communication system. A wireless device and a cellular base station may establish a wireless link. An artificial intelligence model to use for beam selection may be determined. Channel impulse response information for a cell in a first frequency range may be determined. A downlink beam for a cell in a second frequency range may be selected based at least in part on the artificial intelligence model and the channel impulse response information for the cell in the first frequency range.

The invention discloses a communication and inductance integrated channel modeling method with space consistency, which comprises the following steps: 1) setting an initialization scene, and configuring related parameters of an antenna; 2) generating powers, azimuth angles and pitch angles of the proprietary clusters and the common clusters and distances between the first and the last passing clusters and a transmitting and receiving end, and then generating azimuth angles, pitch angles and propagation distances of sub-paths in the clusters; 3) calculating the probability of existence of the proprietary cluster and the common cluster on the antenna array; 4) calculating and generating channel impulse response (CIR) of the sensing channel and the communication channel; and 5) simulating and calculating the existence condition of the clusters on the array surface, a time autocorrelation function (TACF) and a space autocorrelation function (SCCF), and judging whether the channel modeling method has accuracy and space consistency or not. The channel modeling method disclosed by the invention is based on a common cluster and a proprietary cluster of a sensing channel and a communication channel, the relationship between the two channels is considered, the channel space consistency is comprehensively analyzed, and the channel modeling method has important significance for guiding the design of an ISAC system.

This disclosure provides methods, components, devices and systems for adjacent channel interference (ACI) mitigation techniques for ultra-wideband (UWB) systems. Some aspects more specifically relate to ACI mitigation for UWB systems. In some implementations, a wireless communication device may receive control information that identifies a preamble for communications to the wireless communication device in a UWB system. The wireless communication device may receive, via a signal in the UWB system, a data packet that includes the preamble. The wireless communication device may estimate a channel impulse response (CIR) of the signal and determine an interference metric that is based on the estimated CIR. The wireless communication device may process the data packet based on the interference metric.

The invention discloses a channel parameter estimation method based on an adaptive ant colony optimization algorithm. The channel parameter estimation method comprises the following steps: step 1, generating a channel impulse response of a snapshot; step 2, initializing channel parameters of all paths, including time delay, angle and complex amplitude of each path; step 3, determining search spaces corresponding to all path channel parameters based on the initialized channel parameters; and step 4, based on the corresponding search space, estimating the channel parameter of each path by using a self-adaptive ant colony optimization algorithm, iteratively calculating the fitness of each path, and retaining the time delay, angle and complex amplitude corresponding to the optimal fitness in the current ant colony. According to the method and the system disclosed by the invention, aiming at the problem of estimating the multipath channel parameters, the accuracy of estimating the multipath channel parameters is improved by utilizing the capability of globally searching the optimal solution through the ant colony optimization algorithm and through a method of continuously iteratively calculating the multipath channel parameters.

The invention discloses an ISAC angular domain energy imaging method and an ISAC angular domain energy imaging system based on actual measurement channel response calibration ray tracing, and mainly solves the problem that an imaging model faces serious channel mismatch and cross-scene generalization limitation due to the fact that simulation data lacks physical consistency constraint in the prior art. According to the scheme, the method comprises the steps that geometric features are extracted from public map data or laser point cloud data, and an ISAC scene environment geometric model is constructed; acquiring an actual measurement channel impulse response containing multipath information by using the communication and sensing integrated equipment; performing path matching on the actual measurement channel impulse response and the ray tracing simulation channel response, inverting environment propagation parameters and correcting scattering parameters; and inputting the calibrated parameters into a ray tracking model, counting energy contribution in each space direction under the condition of a single antenna, obtaining angular domain energy distribution and confidence coefficient, and mapping the angular domain energy distribution and confidence coefficient to a spherical grid to form an imaging result. According to the method, physical mismatch between simulation and real environments is effectively eliminated, low-cost and high-precision angular domain energy imaging and confidence evaluation are realized under the condition of a single antenna, and the method can be used for imaging reconstruction of an ISAC system, environmental perception and generation of a neural network training data set.

The invention provides a UWB-based living body detection and UWB positioning fusion multiplexing method and device and a vehicle, the fusion multiplexing method is applied to the vehicle, the vehicle is provided with a UWB anchor point and a group of UWB antennas, the UWB anchor point is provided with a UWB chip, the UWB chip is provided with a radar register and a ranging register, the radar register is configured to be in a radar mode, and the ranging register is configured to be in a ranging mode. The ranging register is configured to be in a ranging mode, and comprises the following steps: in a session period, acquiring first channel impulse response (CIR) data in a radar mode and acquiring second CIR data in the ranging mode through a UWB anchor point and a UWB antenna respectively; performing living body detection according to the first CIR data; and performing UWB positioning according to the second CIR data. The technical problem of high cost caused by the fact that two functions of living body detection and positioning can be completed at the same time only by using two anchor points to work cooperatively at the same time is solved.

A method for designing pilots inserted into orthogonal frequency division multiplexing (OFDM) waveform intended for channel estimation such that the channel can be seen and estimated in both time-frequency and delay-Doppler domains. The ability of estimating the sparsest channel impulse response will provide environment mapping and therefore sensing.

The invention discloses an unmanned aerial vehicle air-to-air channel modeling simulation method for an urban low-altitude scene, and the method comprises the steps: calculating the time delay, total phase and power of a sight distance path of an unmanned aerial vehicle transmitting and receiving end in a channel model according to the input position parameters of the transmitting and receiving end; calculating to obtain a channel impulse response of the sight distance path by combining a sight distance path antenna pattern function related to the attitude; calculating the time delay, the total phase and the power of a roof reflection path in the channel model in combination with communication scene parameters; in combination with a non-line-of-sight path antenna pattern function related to the attitude, calculating to obtain a channel impulse response of a roof reflection path; calculating the time delay, the total phase and the power of a non-line-of-sight path in the channel model in combination with geometrical relationship parameters limiting scatterer distribution; calculating to obtain a channel impulse response of a non-line-of-sight path in combination with an antenna pattern function related to the attitude; and establishing an unmanned aerial vehicle air-to-air channel model, and outputting a channel coefficient. According to the invention, efficient and accurate reproduction of the air-to-air channel of the unmanned aerial vehicle is realized.

A method for phase correction includes determining a channel impulse response of a first component carrier associated with a first bandwidth, and determining a location of a first impulse response peak within the first bandwidth. A location of a second impulse response peak within a second bandwidth associated with the first component carrier or with a second component carrier is determined based on the location of the first impulse response peak. The second bandwidth is disjoint with the first bandwidth. A phase correction of one of a channel frequency response of the first bandwidth and a channel frequency response of the second bandwidth is performed based on the first impulse response peak and the second impulse response peak.

The invention provides a dynamic statistical channel model construction method and application thereof, and the method comprises the steps: determining the positions of a current transmitting end and a receiving end, obtaining the channel measurement data and GPS information data of the receiving end in a process of driving from a preset position to the transmitting end, and recording a measurement frequency band; obtaining a channel impulse response matrix; calculating a channel stationary interval; calculating the average power delay spectrum of each channel stationary interval, and calculating the root-mean-square delay spread of each channel stationary interval; performing statistical fitting on the root-mean-square delay spread of each channel stationary interval and the distance between the receiving end and the transmitting end by adopting a linear function to obtain a fitting relation curve which is used as a dynamic statistical channel model; and reselecting the current positions of the transmitting end and the receiving end, and reconstructing a real channel model at the current position by using the obtained dynamic statistical channel model. According to the invention, dynamic adjustment can be carried out according to the position of the transmitting and receiving end, and the universality and accuracy of the statistical channel model are improved.

The invention provides a channel model parameter determination method and device and a storage medium, and relates to the technical field of wireless channel modeling. The method comprises the following steps: acquiring a first channel impulse response (CIR) passing through a plurality of common scatterers between each first transmitting antenna unit and each first receiving antenna unit; according to the first CIR, determining a first channel small-scale parameter set and a first cluster number passing through a plurality of common scatterers between the first transmitting antenna unit and the first receiving antenna unit; and according to the positions of the plurality of first transmitting antenna units, the positions of the plurality of first receiving antenna units, the plurality of first CIRs, the plurality of first channel small-scale parameter sets and the plurality of first cluster numbers, determining a second channel small-scale parameter set and a second cluster number passing through the plurality of common scatterers between the second transmitting antenna unit and the second receiving antenna unit. And the complexity of channel model parameter calculation is reduced.