403 results about "Channel impulse response" patented technology

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 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 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.

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 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.

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 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 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 contactless vital sign monitoring includes transmitting, via a transceiver, radar signals for object detection. The method also includes generating a clutter removed channel impulse response from received reflections of the radar signals a portion of which are reflected off of a living object. The method further includes identifying a set of range bins corresponding to a position of the living object. Additionally, the method includes identifying a first set of signal components representing a respiration rate of the living object and a second set of signal components representing a heart rate of the living object.

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.

A micro-deformation monitoring method, comprising: on the basis of received data of a wireless communication network, determining a channel impulse response (110); on the basis of the channel impulse response, generating a range-angle map (120); on the basis of the range-angle map, determining a phase difference between a monitoring target point and a reference point (130); and on the basis of changes in the phase difference, determining the deformation of the monitoring target point (140). Further provided are an electronic device and a computer-readable storage medium.

A distributed ultra-wide band (UWB) radar system and methods for operating the same are disclosed. The distribute radar system uses a plurality of separate UWB radios or nodes that do not use a centralized clock or source of time. However, the distributed UWB system operates to provide radar-like functionality and fine-grain sensing capabilities through synchronization based on line-of-sight (LOS) signal processing and noise estimations. Synchronized channel impulse responses (CIRs) can be processed for general object detection and tracking, gesture recognition, or even micro-motions such as monitoring vitals

The invention relates to a method for operating a transceiver device (1), comprising the following steps to be performed by the transceiver device (1): transmitting a pulse radio signal (5) at a given time; receiving a reflected signal of the transmitted pulse radio signal (5); generating a channel impulse response that describes the reflected signal as a function of a path delay; determining a self-interference distance range of the path delay of the channel impulse response, wherein the reflected signal of the self-interference distance range describes a self-interference signal of the transceiver device (1); determining at least one target distance range of the path delay of the channel impulse response, wherein the reflected signal of the target distance range describes a signal of the target distance range;Determining a signal component of the target distance range signal correlated with the self-interference signal using an operator, wherein the operator maps the self-interference signal to the correlated signal component of the target distance range signal; determining a signal component of the signal uncorrelated with the self-interference signal by removing the signal component correlated with the self-interference signal using a correlation cancellation filter.

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 provides a multipath TOA calculation method and system based on a ground-based navigation system and electronic equipment, and the method comprises the steps: collecting a signal frequency spectrum which is transmitted by the ground-based navigation system and is superposed by a plurality of propagation paths in a frequency domain channel of the ground-based navigation system, and constructing a discrete frequency domain channel impulse response model related to the signal frequency spectrum; determining the number of propagation paths of the ground-based navigation system signals according to the signal spectrum; and alternately correcting the arrival time and the path amplitude of all the propagation paths by gradually increasing the propagation paths to the path number and the second target function until the first target function converges, so as to obtain the target arrival time and the target path amplitude of each propagation path of the ground-based navigation system. According to the method, the calculation precision of the number of propagation paths is improved, the false alarm and missed detection probability in a complex multipath channel is reduced, the arrival time of the propagation paths and the calculation accuracy of the path amplitude are improved, and therefore the positioning precision of the whole foundation navigation system is improved.

The invention discloses a scene-adaptive multipath time delay alignment method and device for a wireless communication system, and the method comprises the steps: employing an SISO channel detection system to actually measure channel data, employing rectangular or RRC shaping filtering to generate a CAZAC oversampling sequence as a template function, calculating a cross-correlation matrix of an IQ signal and the template function, and enabling the CAZAC oversampling sequence to serve as the template function; a noise threshold is calculated based on the median power and the false alarm rate, dynamic threshold filtering is executed, a cross-correlation matrix after denoising is generated, and preliminary estimation of the time domain impulse response is completed; extracting multipath time delay and complex gain from the cross-correlation matrix by using an SAGE algorithm; drawing a power delay spectrum PDP for the channel impulse response; and performing alignment operation on the PDP in combination with the geographical location information of the transceiver during actual measurement. According to the method, the defect of traditional alignment in a severe scene is overcome, the statistical modeling accuracy is improved, the multipath time delay can be effectively aligned through experimental verification, and reliable support is provided for channel modeling.

The invention discloses a self-supervised ultra-wideband positioning method based on an improved double-delay depth deterministic strategy. The method comprises the following steps: acquiring channel impulse response data CIR and performing preprocessing; an improved double-delay depth deterministic strategy model is constructed to carry out UWB ranging error correction, the improved double-delay depth deterministic strategy model is based on a double-delay depth deterministic strategy gradient model, a double-commentator network structure is designed, a spatial-temporal feature coding layer based on a self-attention mechanism is introduced, and UWB ranging error correction is carried out. Capturing a long-range dependency relationship through a dynamic weight distribution mechanism, and establishing cross-timestamp time-space association feature mapping; a target network delay updating mechanism is introduced, so that the updating frequency of a target network is lower than that of a commentator network and an actor network, and action noise generated by a strategy is regularized; and generating a pseudo tag by adopting extended Kalman filtering, and carrying out iterative optimization to obtain a positioning result. The method is particularly suitable for processing noise and multipath effect in CIR data, and high-precision UWB positioning is realized.

The invention discloses an ultrasonic cross-metal channel estimation method based on improved block sparse Bayesian learning, and belongs to the field of ultrasonic cross-metal communication channel estimation. Constructing a pilot signal relationship between the receiving end and the transmitting end on the two sides of the metal wall; dividing a to-be-estimated metal channel impulse response into zero-value blocks or non-zero blocks of block sparse Bayesian according to whether the to-be-estimated metal channel impulse response is zero or not; the method comprises the following steps: iteratively updating hyper-parameters a, b, Bi and lambda of a non-zero block by adopting an expectation maximization algorithm, realizing structured sparse learning, calculating a maximum posteriori estimation result by utilizing a final hyper-parameter of the non-zero block, and taking the maximum posteriori estimation result as an estimation value of ultrasonic cross-metal channel pulse response. According to the method, a block sparse Bayesian learning algorithm is improved by utilizing the characteristics of metal channel pulse response, and compared with an original algorithm, the accuracy of channel estimation in a low signal-to-noise ratio environment is improved.

The invention relates to the technical field of underwater acoustic communication, in particular to an underwater high-speed underwater acoustic communication signal modulation and demodulation method based on multi-beam diversity, which comprises the following steps of: modulating at a transmitting end, generating a space-time coded modulation signal by adopting a multi-beam transducer array, and realizing space diversity by a receiving end through self-adaptive beam forming; modulation adopts a hybrid mode of combining orthogonal frequency division multiplexing and 256-QAM, and the spectrum efficiency is optimized through dynamic subcarrier allocation; and a receiving end demodulates, a three-dimensional compensation matrix is constructed based on an LSTM-CNN joint network, and joint estimation of channel impulse response and Doppler frequency offset is realized. According to the invention, by adopting an eight-unit cross array type multi-beam diversity technology, space signal focusing and multipath interference suppression tasks are completed, and the effect of spatial multiplexing gain is achieved; through combination of 256-QAM and OFDM dynamic subcarrier distribution, a high-spectrum-efficiency transmission task is completed; a time delay-Doppler joint estimation task is completed by constructing a three-dimensional compensation matrix of an LSTM-CNN joint network, so that the channel estimation error is reduced.

Techniques for training a simulation of a Serializer / Deserializer (SerDes) receiver are described. For example, one implementation of a method includes: based on a channel impulse response (CIR) input, selecting a first receiver equalization model from a plurality of receiver equalization models using a first optimization process, the first receiver equalization model having a corresponding set of model parameters; converting the CIR to an equalized CIR based on the selected receiver equalization model and corresponding set of model parameters; predicting a first bit error rate (BER) based on the first receiver equalization model and corresponding set of model parameters using a second optimization process; and based on a difference between the first BER and an expected or known BER, selecting a second receiver equalization model from the plurality of receiver equalization models using the first optimization process.

Backscatter AMP device detection and characterization using Ultra Wideband (UWB) impulse radar may be provided. First, a computing device may transmit an UWB signal comprising pulses to a Backscatter Device (BKD). Next, the computing device may receive a reflection of the UWB signal from the BKD in response to the UWB signal. Then the computing device may locate the BKD using a Channel Impulse Response (CIR) of the reflection of the UWB signal.