183 results about "Channel impulse response" patented technology

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 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 relates to the technical field of communication, in particular to a high-precision measurement method for radial velocity of a shallow sea underwater acoustic target based on ray sound field reconstruction, which comprises the following steps of: establishing a three-path propagation model comprising direct arrival, water surface reflection and seabed reflection, and constructing a joint representation equation comprising channel impulse response and target motion parameters by the path propagation model; according to the method, a space-time joint representation model of multipath sound rays is constructed, and the limitation of a traditional single-path model is broken through by quantifying the coupling relation between propagation time delay and Doppler frequency shift of different paths; the development provides a new technical means for underwater target tracking and positioning, underwater acoustic communication Doppler compensation and marine environment dynamic monitoring, and especially has an important application prospect in the fields of underwater unmanned cluster collaboration and the like.

The present invention provides a method for low-complex estimation of Direction of Arrival (DoA) and Time of Arrival (ToA) in multi-antenna-based communication comprising detecting overlapped paths between a Mobile Station (MS) and a Base Station (BS) operating under said multi-antenna-based communication with scatters present therein involving channel paths represented as Channel Impulse Response (CIR) defined with channel signatures including delay and angle steering vectors, decoupling the channel paths in delay and angle-domain and separately estimate the DoA and ToA of each path with a low computational complexity which is based on one-dimensional low-index based rotation methodology and finally pairing the DoA and the ToA.

The invention discloses an indoor positioning method and system based on 5G channel characteristics and pedestrian dead reckoning, and belongs to the technical field of indoor positioning. The method comprises the following steps: firstly, converting input complex 5G channel impulse response (CIR) data into a two-dimensional characteristic matrix; inputting the two-dimensional feature matrix into a deep convolutional neural network to perform feature transformation and obtain a 5G positioning position track, and then performing time sequence smooth optimization on the 5G positioning position track by using a Kalman filter to obtain an optimized 5G position track; according to the invention, a deep convolutional network is adopted to fully extract amplitude-phase composite features of 5G channel impact response CIR, and machine learning step length measurement and calculation of multi-dimensional gait features are combined to accurately position an indoor position track, so that the utilization efficiency of positioning data is improved; and intelligent complementation can be carried out between the optimized 5G position trajectory and the dead reckoning trajectory, and the indoor positioning precision and positioning stability in a complex indoor environment are improved.

The invention relates to the technical field of wireless ranging, and discloses a channel estimation method, a coherent combination method, a circuit, a sensor and equipment. The channel estimation method for ultra-wideband ranging comprises the steps that channel estimation is carried out on at least two fragments, channel impulse responses of the at least two fragments are obtained, and the at least two fragments are from the same MMS data packet; and accumulating the channel pulse responses of the at least two segments to obtain the channel pulse response of the MMS data packet. The channel estimation of the ranging packet based on the plurality of segments is realized, the energy of the channel pulse response is increased, the ranging sensitivity is improved, and the advantages of the ranging packet based on the plurality of segments are brought into full play.

The invention belongs to the technical field of unmanned aerial vehicle millimeter wave communication channel modeling, and discloses an urban low-altitude unmanned aerial vehicle millimeter wave communication channel modeling method under sand and dust weather conditions. According to the method, a three-dimensional geometric random channel model is provided, and scatterers are divided into three types: near-field scatterers at the transmitting end and the receiving end adopt bicylindrical models, suspended dust adopts a complete ellipsoid model, and ground fixed scatterers adopt a lower half ellipsoid model with a larger semi-major axis. On the basis of the model, channel impulse response containing sight distance, primary scattering components and secondary scattering components is derived, and a space-time correlation function and Doppler power spectral density are calculated. And finally, establishing a joint path loss model: on the basis of the two-path fading model, introducing an additional attenuation factor related to the visibility of the sand and dust and the particle charge mass ratio, and determining specific parameters of the factor according to the grade of the sand and dust. According to the method, the channel characteristics can be accurately predicted, and theoretical support is provided for anti-interference design and link optimization of the millimeter wave communication system of the unmanned aerial vehicle.

The invention relates to a position estimation method and device based on multi-task joint learning. The method comprises the following steps: acquiring a channel impulse response sample and an estimated value of a receiving end to a distance; constructing a variational auto-encoder model; the variational auto-encoder model comprises an encoder, a decoder, a channel state clustering device, a mutual information estimator, a channel state discriminator and a geometric information estimator; pre-training and joint training are sequentially performed on the variational auto-encoder model to obtain a trained variational auto-encoder model, in the pre-training stage, an encoder, a decoder and a channel state clustering device are trained, and in the joint training stage, full model parameters are optimized based on preset joint loss; and inputting a channel impulse response to be positioned into the trained variational auto-encoder model, and determining a target position according to the output geometric information estimator. By adopting the method, the accuracy, the stability and the robustness of positioning estimation can be improved, and the high-precision indoor positioning requirement can be met.

This application provides a signal receiving method, a transmitting method, a terminal, a system, and a storage medium, relating to, but not limited to, the field of optical communication technology. The receiving terminal removes a unique header from the time-domain signal data according to a first preset length. The time-domain signal data is obtained by transmitting the original signal data from the transmitting terminal through a transmission channel and is a linear convolution of the original signal data and the channel impulse response of the transmission channel. The original signal data includes a data group composed of a unique header of the first preset length and symbol data of the second preset length. Multiple intermediate time-domain data blocks are constructed from the time-domain signal data after removing the unique header, based on the length of the data group, so that each intermediate time-domain data block corresponds to a circular convolution of a data group and the channel impulse response. Frequency domain equalization is performed on the intermediate time-domain data blocks to obtain first equalized time-domain signal data. The embodiments of this application can improve the communication quality of the optical communication system while maintaining transmission capacity.

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.

The application relates to the technical field of positioning device signal processing and positioning precision, and particularly discloses a non-line-of-sight classification and error compensation method and system based on a double convolution neural network, the method comprising the following steps: acquiring channel impulse response data of an ultra-wideband signal, and pre-processing the channel impulse response data to obtain an amplitude sequence in real number form; constructing a double convolution neural network classification model, the double convolution neural network classification model comprising parallel large-kernel convolution blocks and small-kernel convolution blocks, which are respectively used for extracting macroscopic waveform features and microscopic fluctuation features from the amplitude sequence; and performing classification training after fusing the macroscopic waveform features and the microscopic fluctuation features; and based on the trained classification model, the regression compensation of ranging errors of non-line-of-sight signals is performed, macroscopic waveform contour features and microscopic local fluctuation features can be simultaneously extracted from data, and a complementary feature extraction mechanism can more comprehensively describe the differences between LOS / NLOS signals compared with a single-structure network.

Systems and techniques for localization of disturbances are illustrated. One embodiment includes a method for detecting a disturbance in an area of operation, the area of operation including a plurality of transmitter-receiver pairs. The method obtains, based on a first plurality of signal transmissions between the plurality of transmitter-receiver pairs, at least one baseline channel impulse response (CIR) measurement. The method obtains, based on a second plurality of signal transmissions between the plurality of transmitter-receiver pairs, at least one additional CIR measurement; The method obtains, based on the at least one additional CIR measurement and the at least one baseline CIR measurement, at least one residual CIR measurement. The method derives, based on a sufficient similarity between the at least one residual CIR measurement and at least one particular key of a plurality of keys, localization data for at least one disturbance detected within the area of operation.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive a first indication of a set of analog receive beams and an instruction to report one or more post-analog-beamformed channel impulse responses (CIRs) that are based at least in part on the set of analog receive beams. The UE may transmit a second indication of a CIR report that indicates the one or more post-analog-beamformed CIRs. Numerous other aspects are described.

The invention discloses a positioning information determination method and an electronic device, and relates to the technical field of smart home, and the method comprises the steps: transmitting an ultrasonic detection signal to a target space through a smart home device, and obtaining an echo sequence; extracting a sampling sequence corresponding to the echo sequence based on the starting moments corresponding to the plurality of emission periods, and filtering the sampling sequence to obtain a first receiving signal used for indicating the dynamic change of the moving target in the target space; performing cross-correlation operation on the first receiving signal and the ultrasonic detection signal to obtain a channel impact response sequence corresponding to the target space; and performing clustering analysis on the channel impact response sequence to determine the positioning information of the moving target. The problem that a human body sensing technology cannot accurately position the moving target in a complex home scene under the condition that special hardware is not additionally installed is solved, and the effect that the moving target can be positioned without additional special hardware is achieved.

The embodiment of the invention provides an RIS cascade channel model simplification method and device based on cluster deletion, and relates to the technical field of wireless communication. The method comprises the following steps: generating a first multipath of a first channel from a transmitting end to a reconfigurable smart surface (Tx-RIS), and generating a second multipath of a second channel from the RIS to a receiving end (RIS-Rx); performing power normalization and arrangement processing on the first multipath and the second multipath respectively; respectively carrying out convolution operation on the first multipath and the second multipath according to the sorting sequence, and determining reserved multipath combination information; calculating RIS electromagnetic response according to the multipath combination information; and generating a channel impulse response of Tx-RIS-Rx according to the RIS electromagnetic response. According to the scheme provided by the invention, the cluster or multipath component with low power ratio is removed from the Tx-RIS and RIS-Rx sub-channels, so that the modeling complexity is effectively reduced and the modeling efficiency is improved on the premise of ensuring the statistical channel characteristics.

The application discloses a kind of distributed array high-precision time synchronization method based on compressed sensing (CS) and secondary least square (QLS), belong to wireless communication and radar signal processing technical field.For under the restriction hardware bandwidth and strong multipath environment, traditional cross-correlation method is limited by Rayleigh resolution and sampling grid, there is the problem of serious peak aliasing, insufficient synchronization accuracy, the application proposes CS-QLS joint decoupling strategy.The method constructs frequency domain observation matrix and high-density time delay over-complete dictionary by transmitting sparse multi-tone probe signal, reconstructs sparse channel impulse response using CS, separates multipath aliasing and determines direct wave coarse synchronization boundary;Further combined with main path and adjacent grid point amplitude information, QLS is used to fit continuous domain peak position, and grid mismatch error is corrected.The method breaks through the limitation of physical bandwidth and sampling grid, and realizes nanosecond-level high-precision time synchronization in complex non-line-of-sight environment with very low computational complexity.

This application belongs to the field of wireless communication technology and provides a general channel modeling method for communication of autonomous vehicles in underground spaces. The method includes: first, initializing model parameters and calculating path loss based on the scene; then, updating the orientation of the transceiver antennas using an attitude matrix and calculating their three-dimensional real-time positions; subsequently, selecting appropriate mechanisms to generate scattering clusters according to different underground scenarios such as pillar-type, tunnel-type, and cave-type, and updating their survival status based on the vehicle's motion state; next, generating and evolving specular multipath components and dense multipath components formed by specular reflection and diffuse scattering within each surviving scattering cluster; finally, combining line-of-sight and the two types of multipath components to calculate the time-varying channel impulse response and generate the channel matrix. This application can provide a more accurate and reliable general channel model foundation for the design, deployment, and performance evaluation of 6G underground communication systems, effectively supporting high-reliability communication assurance for underground autonomous vehicles.

A channel feedback method, apparatus and system. The method comprises: acquiring multipath component information of a communication channel between a first device and a second device; on the basis of a self-supervised neural network, performing processing on the multipath component information and second channel information, so as to obtain intermediate information; and sending the intermediate information, wherein the second channel information is determined on the basis of first channel information and multipath delay information, the second channel information comprises a variable channel impulse response (CIR), the first channel information comprises a channel frequency response (CFR), which is obtained by means of a measurement, and the intermediate information and the multipath component information are used for determining a reconstructed CIR. By means of the solution, channel feedback is performed in combination with multipath component information and a self-supervised neural network, thereby reducing measurement overheads and feedback overheads.

The invention relates to the technical field of waveform display, in particular to an eye pattern generation method and system based on a high-resolution oscilloscope, and the method comprises the following steps: analyzing a channel impact response, extracting effective delay, defining an operation kernel range, constructing sparse inverse filtering compensation distortion, judging an edge generation eye pattern track, and quantifying noise as a weight to carry out sub-pixel diffusion. According to the method, a delay set is established, a non-linear participation range is made to fit real channel behaviors, a high-order cross product is constructed in an original waveform, detail compensation of amplitude and time is enhanced in a sparse inverse filtering mode, and zero point and amplitude characteristics of a second derivative are combined, so that the error rate contour is deduced. A real edge interval is separated, continuous diffusion is formed in a histogram through a discrete probability weight constructed by quantizing noise, so that a statistical form of a low-probability region is completely reserved, and an error code related boundary presents a regular distribution structure in combination with a tail probability gradient.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a responding device may receive a signal from an initiating device. The responding device may estimate, from the signal, a channel impulse response (CIR) that represents signal reflections from one or more objects as multiple taps. The responding device may select one or more taps, from the multiple taps, that are within a first time window that starts at a first offset from a reference point and that has a first specified time duration. The responding device may transmit, to the initiating device, a CIR report that indicates the one or more taps. Numerous other aspects are described.

The invention provides a multiple access scheme in a molecular communication network and a detection method, which are used for relieving a near-far effect and ensuring communication fairness of sensors in different distances by constructing the network, setting time offset according to a transmission distance, determining emission delay by combining channel impulse response peak time and adjusting molecular emission quantity according to channel impulse response. The molecule consumption and energy consumption are reduced; based on the MMSE principle, an optimization equation is constructed, an optimal weight vector is solved, a judgment variable is obtained, bit information is precisely restored, interference is effectively suppressed, the bit error rate is reduced, the reliability and efficiency of nano sensor network communication are greatly improved on the whole, and the problem of nano sensor network communication is efficiently solved.

This invention discloses a visible light communication channel modeling method for underground coal mine environments, solving the problem that existing technologies fail to accurately quantify the impact of coal mine dust and obstacles on the attenuation of received optical power. The method includes: determining the link parameters of the visible light communication system, simulation parameters of the environment, and simulation parameters of the transmitter and receiver; calculating the attenuation coefficient of received optical power due to coal mine dust and obstacles; calculating the channel impulse response and characteristic parameters; determining the noise simulation parameters of the photodetector; and calculating the bit error rate of the communication system. This invention quantifies the impact of coal mine dust and obstacles on the channel, integrating the attenuation coefficient of received optical power due to coal mine dust and obstacles into the channel model, resulting in a visible light communication channel model that better reflects the underground coal mine environment. This invention enriches the modeling methods for visible light communication channels, and the modeling results provide guidance for the design and deployment of visible light communication systems in underground coal mine environments.

The application provides a passive coding device positioning and tracking method and device, and relates to the technical field of computers, and comprises the following steps: acquiring original data of radio frequency signals reflected by all passive coding devices arranged in a monitoring area; performing feature separation according to the original data of the radio frequency signals to obtain a signal baseband feature set; performing propagation path derivation according to the baseband feature set to obtain channel impulse responses describing environmental reflection characteristics; performing device position probability field construction according to the channel impulse responses to obtain a position probability distribution of the device in the monitoring area; performing motion trajectory function fitting according to the position probability distribution to obtain a space-time trajectory function of the device; and performing trajectory optimization under physical constraints according to the space-time trajectory function to obtain a positioning and tracking result. The application realizes high-precision and stable and continuous positioning and tracking of passive coding devices in a complex electromagnetic environment.

The application relates to the technical field of indoor positioning, in particular to an indoor personnel positioning method and system based on multi-modal perception. The application proposes the following scheme: by acquiring the ultra-wideband channel impulse response, millimeter wave radar data and thermal imaging data of each layer, combining building information for double-base geometric mapping, reconstructing an indoor ray path and generating an occupancy grid map. Further, the water mist distribution intensity generated by a spraying device is collected, phase correction and beam domain purification are performed on the millimeter wave data, and flow direction filtering and flicker suppression are performed on the thermal imaging data to obtain pretreatment data. On this basis, motion prior information and boundary constraint information are extracted, and fusion is realized through mass conservation update and normalization synthesis in the occupancy grid map, and finally the position information and motion direction of the object to be positioned are output. The application can maintain positioning stability and accuracy under the interference of fire smoke, water mist and multipath effect, and is suitable for high-risk scenes such as fire rescue.

Embodiments of wireless communications systems, ultra-wide band (UWB) systems, and methods for wireless communications are described. In an embodiment, a wireless communications system includes a processor configured to obtain an angle of arrival (AoA) estimate from wireless signals; perform a Channel Impulse Response (CIR) analysis, and determine a confidence level for the AoA estimate based on the CIR analysis.

This application relates to a method, system, and medium for simulating the physical layer of an underwater acoustic network in a network simulator. It includes: a mirror event scheduler monitoring transmission events at the physical layer; when any node triggers a transmission event, the mirror event scheduler adds the transmission event to a preset micro-batch buffer for buffering; when preset conditions are met, the mirror event scheduler performs micro-batch aggregation processing on all current transmission events in the micro-batch buffer; the mirror event scheduler generates a transmission signal based on the micro-batch aggregation result; the mirror event scheduler generates an uplink parameter file based on the transmission signal and sends it to the channel simulation end; the channel simulation end determines the target channel impulse response; the channel simulation end generates a downlink parameter file based on the target channel impulse response and the transmission signal and returns it to the network simulation end; the mirror event scheduler in the network simulation end processes the corresponding reception events based on the downlink parameter file. This application can avoid the interference underestimation and collision misjudgment caused by traditional packet-by-packet processing.

Various aspects of the present disclosure generally relate to wireless communications. In some aspects, a user equipment (UE) may receive downlink communications using a receive beam formed using a set of antenna elements. The UE may measure a channel impulse response (CIR) for each antenna element in the set of antenna elements in a polling manner in parallel with receiving the downlink communications. The UE may generate a second receive beam or transmit beam based at least in part on the CIR of the set of antenna elements. Numerous other aspects are described.

A multipath channel modeling method for mobile underwater acoustic communication based on sound field calculation is presented, involving underwater sound waves. Channel modeling is performed by inputting environmental parameters including ocean sound velocity profiles and seabed topography, as well as modeling parameters such as the initial coordinates and trajectory equations of the signal transmitter and receiver. Ocean sound field calculations are performed using kernels such as ray tracing models, normal mode models, or wavenumber integral models, calculating the sound field at each trajectory sampling time based on the modeling parameters. The frequency domain sound field results are converted into a channel impulse response using inverse Fourier transform, and the time-varying impulse response of the overall multipath channel is recovered using local spline interpolation. The transmitted signal is convolved with the time-varying impulse response of the multipath channel, and a common propagation delay is added to obtain the simulation results of the received signal. Through accurate sound field calculation and multipath channel modeling, signal transmission under specific marine environments can be simulated without actual marine environmental measurements, reducing marine field testing costs and improving R&D efficiency.

The invention relates to the technical field of 5G communication channel estimation, and discloses a 5GMIMO channel estimation optimization method based on deep learning. According to the method, a deep learning model architecture is constructed, and model parameters are dynamically initialized according to channel coherence time so as to adapt to 5GMIMO channel multipath propagation characteristics. Received signal streams from a plurality of antenna elements containing different orthogonal frequency division multiplexing sub-carrier frequency sequences are processed, channel impulse response estimates are generated based on frequency domain correlation and input into a model for nonlinear transformation. And performing model parameter collaborative optimization, updating the network weight by calculating the gradient variation, constructing a target function according to channel delay extension and model depth association, and adjusting the estimation output towards the direction of minimizing the mean square error. And triggering model structure adaptation based on a norm of gradient variation, acquiring model copy parameters matched with the current channel state from an adjacent cell base station, normalizing the model copy parameters, and adjusting the number of attention heads or the number of residual blocks.