109 results about "Multipath component" patented technology

Exemplary system, method and computer-accessible medium for selecting at least one location of (i) at least one receiver or transceiver or (ii) at least one transmitter or transceiver can be provided. For example, it is possible to facilitate a receipt, from the at least one transmitter or transceiver, of a plurality of signals by the receiver(s) or transceiver(s). Each of the signals has a multipath component. Then, it is possible to determine time of flight (ToF) information and angle of arrival (AoA) information of the multipath components present in the signals. Further, it is possible to determine one or more possible locations of (i) the receiver(s) or transceiver(s) or (ii) the transmitter(s) or transceiver(s) based on the ToF information, the AoA information, and a model of physical surroundings. The location(s) of (i) the receiver(s) or transceiver(s), or (ii) the transmitter(s) or transceiver(s) can be selected based on the one or more possible locations and an extended Kalman filter (“EKF”).

Certain aspects of the present disclosure provide techniques and apparatus for generating channel estimates in a spatial environment based on learned material properties for objects in the spatial environment. An example method generally includes receiving, from a ray-tracing model, a plurality of multipath components corresponding to a signal transmitted from a transmitter at a first location in a spatial environment to a receiver at a second location in the environment. For each respective multipath component, energy field characteristics of the respective multipath component are estimated, using a machine learning model, based on interactions with one or more objects in the environment, one or more learned parameters of the machine learning model being associated with one or more properties of the objects. A channel estimate is generated based on the estimated characteristics of each multipath component. One or more actions may be taken based on the generated channel estimate.

Disclosed is a method for a location-based secure communication based on IRS. The controlled multipath components of the reflected signal are exploited by IRS, and secure communication is enabled through shuffling the phases of those components so they add constructively only at the intended receiver.

Disclosed by the present disclosure is a geometry-based stochastic channel modeling method for an IIoT channel. The method includes the following steps: S1, setting a propagation scenario, propagation conditions, model parameters, an antenna configuration, and the like, S2, generating large-scale parameters with a spatial consistency; S3, determining a number of initial clusters, a number of specular multipath components generated in each of clusters and a number of dense multipath components generated in each of the clusters, determining a visibility of an array antenna to the clusters, generating an initial delay of the clusters, an angle of the clusters, and a power of the clusters, and generating channel coefficients between each pair of transmitter antennas and receiver antennas; S4, updating the positions of the transmitters and the positions of the receivers as well as values for the large-scale parameters according to the motion trajectories of the transmitters and the motion trajectories of the receivers; S5, applying a birth and death process of the clusters to initialize new clusters and update angles, delays and powers of surviving clusters, and generating the channel coefficients; and S6, returning to Step S4, until traversing motion trajectories of the transmitters and the motion trajectories of the receivers; calculating statistical characteristics of the channel, and verifying channel model according to actual measurement data. For the first time, the present disclosure considers 6G channel modeling requirements and dense multipath characteristics, and are verified through actual measurements, which is of great significance for the standardization of IIoT channel models.

The invention belongs to the technical field of 6G communication, and discloses a reflection surface assisted unmanned aerial vehicle inland river communication channel model construction method and system.The method comprises the steps that firstly, a geometric model is used for simulating an inland river scene, the influence of water surface fluctuation is considered, and the influence of the waveguide effect is considered; and the binary Markov process is utilized to simulate the birth and death process of the multipath component. The establishment of the model can provide a reference value for deployment and evaluation of an intelligent reflection surface assisted unmanned aerial vehicle ship inland river communication system, and provides a reference value for the deployment position, deployment angle and size of the intelligent reflection surface. The method has certain evaluation significance on the deployment of the intelligent reflecting surface and the influence of the number of units on the channel in the scene.

The invention provides a people flow number statistical method, a people flow number statistical model generation method, a people flow number statistical model generation device, equipment and a medium, and aims to solve the problem of low people flow number statistical accuracy in the prior art. The method comprises the following steps: unpacking a received wireless signal to obtain an initial channel state information matrix; performing multipath component filtering on the initial channel state information matrix to obtain a target channel state information matrix; performing amplitude extraction according to the target channel state information matrix to obtain amplitude information; performing principal component analysis on the amplitude information to obtain first principal component information of the amplitude information; processing the first principal component information by adopting a short-time Fourier transform algorithm to obtain a time-frequency spectrogram; and training a target people flow number statistical model based on a data set to obtain a pre-trained target people flow number statistical model, the data set comprising the time-frequency spectrogram and a pre-acquired label. According to the invention, the accuracy of people flow counting can be improved.

The invention provides a single-station cooperative node positioning method and system based on multipath spatio-temporal information, and relates to the field of anchor-free cooperative localization, and the method comprises the steps: receiving a known signal transmitted by a target point through a static antenna and a rotating antenna, and obtaining a multipath signal of the target point; the method comprises the following steps: obtaining angle information of a multipath signal based on a dual-antenna non-fuzzy cooperation node orientation detection method; obtaining a prediction target point according to the angle information; time delay information is extracted based on the multipath signals received by the static antenna and the known signals; and constructing a hyperbolic equation, determining an optimal target point in combination with angle information and time delay information, and completing positioning of the cooperative node in the sight distance scene. According to the invention, on the basis of a multipath detection technology, a prior building layout and spatio-temporal information contained in multipath components are combined, and a single-station anchor-point-assisted cooperative node positioning method is constructed in a sight distance scene, so that the system complexity and the construction cost are further reduced.

The invention relates to a coal mine underground accurate positioning card reader direction identification method, and belongs to the technical field of wireless communication and accurate positioning. In order to solve the problems of low direction identification precision and direction jump caused by dense metal supports, complex electromagnetic environment and serious multipath reflection in a coal mine in the prior art, a multi-source information fusion solution is provided. The method comprises the following steps: initiating a time of flight (TOF) ranging request through an identification card; based on the TOF distance difference interval gradient distribution weight point number, RSSI intensity difference interval differential weighting and CIR characteristic value peak-to-average ratio delay spread multipath component number, analyzing signal quality weighting, and combining historical direction information to dynamically compensate the weight point number; and finally determining the direction of the identification card by comparing the total weight points of the left and right antennas. According to the method, the direction identification accuracy in a complex mine environment is remarkably improved, the multi-path interference and signal fluctuation influence are effectively inhibited, the system anti-attenuation capability is enhanced, and the continuous stability of moving target direction tracking is guaranteed.

The invention relates to a low-complexity OTFS multi-antenna detection algorithm, which belongs to the field of wireless communication, and is characterized in that a transmitting signal of a transmitting end reaches a multi-antenna receiving end through a time-varying multipath channel based on an orthogonal time-frequency-space OTFS modulation system; preliminarily separating received signals from different angles of arrival (AoA) at a receiving end by using a multi-antenna array and beam forming; then, starting from the angles of a time delay-Doppler (DD) domain and a low-complexity delay-time (DT) domain, according to composition of signals in beam forming branches, performing coherent combination on multipath components in each branch through maximum ratio combination (MRC), meanwhile, collecting all branches by the MRC and performing coherent combination, and performing continuous iteration to obtain an optimal estimated value; the result shows that the bit error rate performance of the provided low-complexity DT domain multi-antenna Bi-MRC detection is obviously superior to that of the existing multi-antenna MP-MRC detection, and the number of iterations required for achieving the optimal value and the time consumption of single iteration are greatly reduced.

A computer-implemented method for estimating a travelling speed of a wireless device in a wireless communications network, where the wireless device has transmitted a signal sequence to a network node via two or more signal paths. The method includes obtaining data indicative of a Doppler speed difference between respective multipath components of the signal sequence transmitted via the two or more signal paths; obtaining data indicative of direction of departure, DoD, (nUE,P1, nUE,P2) of the two or more signal paths at the wireless device; and estimating the travelling speed of the wireless device based on the data indicative of the Doppler speed difference and the data indicative of DoD.

The invention discloses a low-orbit satellite propagation channel modeling method. The method comprises the following steps: generating an optimal signal propagation path from a satellite to a target receiving point by adopting an RRT algorithm; simulating propagation of a direct path component and a multipath component according to a Corazza model; attenuation simulation is carried out on the direct path component according to Lognormal distribution; time delay distribution simulation is carried out on the multipath component, and reflection, refraction and scattering conditions in an actual space environment are simulated to determine amplitude and phase changes of the multipath component; synthesizing the direct path component and the plurality of multipath components; doppler frequency shift is calculated, and distribution of the Doppler frequency shift is simulated by using Gaussian distribution; and constructing a low-orbit satellite propagation channel model based on a synthesis result of the direct path component and the plurality of multipath components and additive Gaussian white noise. According to the method, by accurately simulating the multi-path effect and Doppler frequency shift, important theoretical basis and practical guidance are provided for design and optimization of a wireless communication system, and the performance and reliability of the system in a complex environment are remarkably improved.

The invention provides a communication method and a communication device. The method comprises: receiving configuration information of a plurality of reference signals, the configuration information of each of the plurality of reference signals comprising a measurement identifier and a time domain resource of a multipath component MPC, the time domain resources of the plurality of reference signals being the same; receiving the plurality of reference signals based on the configuration information of the plurality of reference signals; and sending indication information, the indication information indicating MPC information, and the MPC information being obtained by measurement based on the plurality of reference signals. By measuring the MPC information based on a plurality of simultaneously transmitted reference signals, the measurement accuracy of the MPC information can be improved. Furthermore, the MPC can reflect information of each path when the reference signal is transmitted through the wireless channel, so that some operations can be performed based on the MPC information, such as acquiring channel state information based on the MPC information. Compared with the feedback of the channel state information based on the codebook index and the quantization coefficient corresponding to the base of the codebook index, the feedback overhead and time delay can be reduced.

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

The invention provides a construction method of a virtual electromagnetic environment model and a test device. The construction method comprises the following steps: acquiring multi-dimensional test data of a mobile carrier in a target scene; taking a timestamp of the baseband signal data as a reference, performing synchronous fusion on the positioning data and the attitude data, and generating a synchronous data set; performing parameter estimation on the synchronous data set, and separating a relative channel parameter of the multipath component in a mobile carrier coordinate system; converting the relative channel parameters into absolute space parameters under a geographic coordinate system based on the instantaneous space state, and determining physical scattering source characteristics corresponding to the multipath component based on the relative channel parameters and the absolute space parameters; and generating a virtual electromagnetic environment model based on the absolute space parameters and the physical scattering source characteristics. In the mode, a structured virtual electromagnetic environment model containing absolute space attributes can be generated, and then high-fidelity digital reconstruction and reproduction of a complex dynamic electromagnetic environment in a real scene are realized.

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.

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 present application provides a single-station collaborative node positioning method and system based on multipath spatiotemporal information, which relates to the field of anchorless collaborative positioning. The method includes: receiving known signals emitted by a target point through a stationary antenna and a rotating antenna to obtain the multipath signal of the target point; obtaining the angle information of the multipath signal based on a dual-antenna unambiguous collaborative node orientation detection method; obtaining a predicted target point based on the angle information; extracting time delay information based on the multipath signal and the known signal received by the stationary antenna; constructing a hyperbolic equation, combining the angle information and the time delay information, to determine the optimal target point, and complete the positioning of the collaborative node in a line-of-sight scenario. Based on multipath detection technology, the present invention combines the spatiotemporal information contained in the prior building layout and the multipath components to construct a single-station, anchorless collaborative node positioning method in a line-of-sight scenario to further reduce system complexity and construction costs.

In a wireless access network, a false base station (FBS) may imitate a legitimate base station by repeating the transmissions of the legitimate base station at a higher power level such that one or more user equipment (UEs) synchronize with the FBS instead of the legitimate base station. The present disclosure provides a UE that detects an FBS. The UE may estimate a time of arrival of different multipath components of a downlink signal corresponding to a physical cell identity. The UE may determine an existence of FBS based on a difference between the times of arrival of two of the different multipath components exceeding a threshold amount of time. The UE may perform a mitigation operation in response to determining the existence of the FBS.

The invention provides a quantity monitoring method, device and equipment and a readable storage medium. The method comprises the following steps: acquiring channel state information of a space to be measured; performing data processing on the channel state information to obtain first amplitude data of the channel state information; taking the first amplitude data as the input of a target calculation model, and obtaining a monitoring result used for indicating the number of target objects in the to-be-detected space; according to the scheme, the channel state information of the to-be-detected space is obtained, and the features of the target objects can be extracted, so that the number of the target objects passing through the to-be-detected space is determined; by processing the channel state information, the interference of multipath components can be filtered while the characteristics of the channel state information are reserved, so that the calculation pressure of performing calculation according to a target calculation model is reduced. The problems that in the prior art, under the scene that the crossing object density is large and the target objects in the image are seriously overlapped, the image segmentation difficulty is high, and the estimation precision of the number of the target objects is poor are solved.

The invention belongs to the field of TOA tracking, and discloses a 5G signal arrival time robust tracking method and system based on a challenge environment, and the method comprises the steps: carrying out the synchronization and pilot frequency information extraction of a 5G downlink broadcast channel (PBCH); cSI measurement and denoising are carried out; and estimating the time of arrival. According to the invention, based on a dual noise reduction mechanism of CSI, time domain smoothing and frequency domain processing are combined, so that the quality of low-signal-to-noise-ratio signals is remarkably improved. An SAGE algorithm and delay phase-locked loop collaborative architecture is introduced, accurate separation of multipath components and dynamic phase-locked optimization are achieved, complex environment interference is effectively inhibited, and TOA tracking precision is improved by more than 30%. According to the invention, a reliable solution is provided for high-precision positioning in a complex environment.

The invention discloses an ultra-wideband ranging and positioning method, system, device and medium for an underground environment, and the method comprises the steps: obtaining a multipath ranging signal and original ranging and positioning information, carrying out the channel estimation of the multipath ranging signal, and obtaining the channel impulse response of the multipath ranging signal; performing multi-path component identification processing according to the channel impulse response to obtain a direct component, multi-path components and first error correction data of each multi-path component; performing direction of arrival estimation on the multi-path components to obtain direction of arrival data of each multi-path component; inputting the channel impulse response and the direction of arrival data into a ranging error correction model for error prediction to obtain second error correction data; and correcting the original ranging and positioning information according to the first error correction data and the second error correction data to obtain a target ranging and positioning result. The method can effectively improve the precision of underground environment ranging and positioning. The invention relates to the technical field of ultra-wideband positioning.

The invention belongs to the technical field of communication, and particularly relates to a multipath component clustering and tracking method for unmanned aerial vehicle channel estimation. Comprising the following steps: acquiring channel data at an initial moment to obtain a characteristic parameter S1 of a multipath component at the initial moment, acquiring a characteristic parameter Sm-1 of the multipath component at a plurality of clusters # imgabs0 # at a moment m-1, acquiring channel data at a moment m by a cluster # imgabs1 #, and extracting a characteristic parameter Sm of the multipath component; performing optimal matching on the multipath components at the moment m-1 and the moment m to obtain a matched multipath component and an unmatched multipath component at the moment m; the method comprises the following steps of: distributing a matched multipath component to a cluster # imgabs2 # of the matched multipath component, distributing an unmatched multipath component to a corresponding cluster # imgabs3 #, obtaining a cluster # imgabs4 #, calculating a boundary threshold # imgabs6 # and a density threshold Dem according to the cluster # imgabs5 #, dynamically adjusting the cluster # imgabs8 # according to the cluster # imgabs7 # Dem, and obtaining a cluster # imgabs6 # and a density threshold Dem; according to the method, dynamic optimization is performed by introducing a boundary threshold, a density threshold and a classification model, so that the channel clustering precision is remarkably improved, and the adaptability to a time-varying channel is enhanced.

A communication method, and an apparatus, the method comprising: receiving first information from a network device, the first information being used for indicating first multipath component information of a first port and second multipath component information of a second port, or being used for indicating correlation information between the first port and the second port; and receiving or sending a reference signal corresponding to the first port, wherein the reference signal, the first multipath component information and the second multipath component information are used for channel estimation, and the reference signal and the correlation information are used for channel estimation. By means of the method, channel estimation on the first port and the second port can be achieved on the basis of the first information and the reference signal corresponding to the first port, so that even in the absence of a reference signal corresponding to the second port, channel estimation can also be performed on the second port on the basis of the first information and the reference signal of the first port, thereby reducing the overhead of reference signals, and further ensuring the performance of data transmission of the first port and the second port.

This application provides a communication method and a communication apparatus. The method includes: transmitting a first type of multipath component (MPC) based on a first physical channel; and transmitting a second type of MPC based on a second physical channel, wherein the first type of MPC and the second type of MPC are used to jointly determine channel information. This not only enables the determination of channel information based on MPC, reducing the feedback overhead of channel information, but also, by designing the terminal device to transmit partial MPCs based on two physical channels respectively, compared to transmitting a complete MPC through a single physical channel, allows for the reporting of a greater number of MPCs and reduces the signaling overhead on a single channel.

The invention discloses a formation estimation method based on multipath channel negative feedback suppression and optimal time delay matching, which belongs to the technical field of underwater acoustic channel multipath component time delay extraction and underwater acoustic array formation estimation, and comprises the following steps: calculating a cross-correlation function of s (n) and yi (n), and extracting a maximum peak value and a corresponding time delay value; reconstructing hrbi (n) and yfbsi (n) of the multipath component, and iteratively extracting a time delay value to obtain tau fbs; performing optimal time delay matching to obtain # imgabs0 # calculation gamma m, n; traversing the matching field, calculating each position gamma m, n, constructing gamma and judging the optimal estimation position of the array element; by adopting the formation estimation method based on multipath channel negative feedback suppression and optimal time delay matching, the problem of formation estimation errors in a multipath environment is effectively solved.

The invention discloses a multipath clustering and tracking method for a dynamic wireless channel, which belongs to the technical field of wireless communication, and comprises the following steps: acquiring time delay, angle and power parameters of multipath components in each time snapshot; running an adaptive neighborhood robust mean shift clustering algorithm, and combining a neighborhood structure quality index to realize static division of a non-uniform density cluster; constructing a directional bounding box of the cluster in a three-dimensional feature space by utilizing principal component analysis, and accurately representing a geometric boundary of the cluster; executing cluster-level tracking based on a directional bounding box and Kalman filtering, and correcting a prediction state; a cluster-level joint similarity is defined based on the shape and density of the bounding box to determine the birth and death of the cluster, and the remaining multipath is re-clustered to identify a new cluster. According to the method, the problems of over-segmentation or under-segmentation and association fuzziness in the prior art are solved. According to the method, the variable density structure of the multipath cluster and the spatio-temporal evolution trajectory of the variable density structure can be adaptively represented, and the precision and robustness of channel modeling in a high-dynamic non-stationary scene are remarkably improved.

A communication method, apparatus and system. The method comprises: acquiring a multipath component (MPC) of the position where a first device is located; and on the basis of the MPC of the position where the first device is located, determining a first pilot pattern, wherein the first pilot pattern indicates Q first transmitting antenna ports, the Q first transmitting antenna ports being used for sending reference signals. In the solution, an MPC is used for determining a first pilot pattern, that is, reference signals are sent by means of Q first transmitting antenna ports, and thus computational complexity and channel measurement overheads can be reduced.

A communication method, and a related apparatus. In the method, first information acquired by a first communication apparatus is used for indicating multipath component information of a communication channel, and the first communication apparatus can determine second information on the basis of the first information and first channel information obtained by the measurement of a reference signal, the second information indicating multipath phase information. The first information and the second information may be used for determining second channel information of the communication channel. In other words, by means of the channel information (namely the first channel information) obtained by the measurement of the reference signal, the first communication apparatus can determine the multipath phase information, and the multipath phase information and the multipath component information can be used for determining other channel information (namely the second channel information) of the same communication channel. Therefore, channel information can be determined on the basis of the multipath phase information and the multipath component information, which reduces the overhead of the reference signal, thereby improving the resource utilization rate, and reducing the power consumption of terminal devices.

Exemplary embodiments provide a method of correcting a result of a ray tracing-based propagation channel simulation. The method of correcting propagation channel simulation data, includes: determining an intensity error value of a propagation channel simulation model for a propagation path associated with each object in a space for which a three-dimensional (3D) environment map is given and storing the intensity error value in a storage device; performing a propagation channel simulation for an arbitrary pair of a transmitter position and a receiver position in the space to obtain multipath components; determining an object having influenced propagations of the multipath components in the space; and correcting an intensity of at least one of the multipath components by applying the intensity error value associated with a determined object stored in the storage device.