1054 results about "Multi antenna" patented technology

The invention provides a high-density RFID tag group scanning system based on a multi-antenna array and beam forming, and relates to the technical field of the Internet of Things. The system comprises a multi-antenna array, an RFID reader-writer, a beam forming unit, a signal processing unit, a feedback unit and a data management unit. Through a digital beam forming technology, the system dynamically adjusts the direction and width of a beam, and achieves the precise scanning of a target area. And in combination with real-time signal feedback, a density peak clustering algorithm and a gradient descent algorithm are adopted to optimize beam parameters, so that the recognition efficiency is improved. The system further utilizes an anti-collision algorithm to dynamically adjust frame parameters, and performs logic grouping based on spatial positions and type characteristics of tags, so that signal collision and missed reading rates are remarkably reduced. Meanwhile, the data management unit stores and outputs the label data in a classified mode, and intelligent management capacity is provided for multi-scene application.

Technologies directed to using at least three antennas and Ultra-Wideband (UWB) protocols are described. One method includes sending a first signal to a second wireless device with data that cause it to send a second signal at a plurality of times. The method receives copies of the second signal at a first time via a first pair of antennas and copies of the second signal at a second time via a second pair of antennas. The method determines first and second angle-of-arrival (AoA) values from the copies of the second signals at the first and second times, respectively. The method determines location information of the second wireless device, the location information including an identifier corresponding to a first field of view (FOV) corresponding to the first pair or a second FOV corresponding to the second pair and at least one of the first AoA value or the second AoA value.

A multi-antenna array-based improved GNSS anti-jamming method using an optimal weight coefficient, comprising the following steps: constructing a signal model for collecting observation signals x by a GNSS antenna array consisting of N array elements; on the basis of the signal model, acquiring a covariance matrix of signals received by the array; performing eigenvalue decomposition on the covariance matrix of the signals received by the array to obtain a matrix composed of eigenvectors; respectively constructing a jamming subspace and a signal-plus-noise subspace; on the basis of a linearly constrained minimum variance beamforming algorithm, designing a subspace constraint-based improved algorithm using an optimal weight coefficient; solving for the optimal weight coefficient on the basis of the linearly constrained minimum variance beamforming algorithm; and using the optimal weight coefficient to weigh the received signals to realize GNSS jamming suppression. According to the improved algorithm, prior information of direction angles of signals is not required, gains of real signals are protected while jamming is suppressed, and the problem of potential safety hazards caused by low-cost jammers is effectively alleviated.

Systems, apparatuses, methods, and computer-readable media are provided for use in a wireless network for control signaling of uplink transmission for multiple antenna panels.

A method of a terminal performing codebook-based PUSCH transmission may comprise: receiving, from a base station, configuration information of an SRS resource set; receiving downlink reference signals from the base station through a spatial filter corresponding to the SRS resource set, and obtaining downlink channel values based on the received downlink reference signal; determining an SRS precoding matrix based on the downlink channel values, and transmitting, to the base station, an SRS to which the SRS precoding matrix is applied; receiving, from the base station, an SRI and precoding information determined based on the SRS; and determining a PUSCH precoding matrix based on SRS resource(s) indicated by the SRI and the precoding information, and transmitting, to the base station, a PUSCH to which the PUSCH precoding matrix is applied.

The invention discloses a reciprocity theorem-based array antenna multi-beam pattern synthesis method, which comprises the following steps of: establishing an array antenna model in electromagnetic simulation software, and extracting a radiation pattern of each antenna unit; defining the number and direction of to-be-formed beams and the gain ratio between the beams; establishing an array antenna energy transmission efficiency transfer function, calculating scattering parameters of each antenna unit of the array antenna through a reciprocal theorem and coordinate transformation, and constructing a scattering parameter matrix of a multi-antenna system; automatically adjusting parameters by using a particle swarm algorithm, and dynamically regulating and controlling the gain proportion between the beams; the optimal excitation value of each antenna unit is obtained, and a target beam is generated after actual loading. According to the invention, the multi-beam synthesis result of the array antenna is more convenient, more stable and more flexible.

The invention relates to a combined attitude determination technology, in particular to a high-precision combined attitude determination method based on a multi-antenna GNSS (Global Navigation Satellite System) and an INS (Inertial Navigation Satellite System), which comprises the following steps of: S1, fixing a GNSS receiver and the INS on a carrier; s2, calculating carrier position information and carrier speed information, and establishing a double-difference carrier phase observation model; s3, calculating a baseline vector predicted value between the antennas; s4, an LAMBDA algorithm model based on INS attitude information constraint is constructed; resolving the IC-LAMBDA algorithm model by using a least square method to obtain an optimal integer solution of the integer ambiguity; s5, calculating a baseline vector between the antennas; carrier attitude information is solved; and S6, fusing the GNSS navigation information and the INS navigation information by using an extended Kalman filter. The method solves the problems of low attitude measurement precision and poor scene adaptability of the existing integrated navigation technology, and is suitable for the fields of unmanned aerial vehicle control, unmanned vehicle driving, unmanned agricultural machinery seeding, marine navigation surveying and mapping and the like.

The invention relates to the technical field of airport wireless communication, in particular to a 5G AeroMACS base station communication and positioning integrated method, which comprises the following steps: establishing an airport scene communication and navigation integrated system comprising a 5G AeroMACS multi-antenna base station, a plurality of single-antenna communication terminals and a plurality of mobile terminals to be positioned; acquiring a sensing positioning parameter estimator of the to-be-positioned mobile terminal according to the echo signal; obtaining an estimation error lower bound of the sensing positioning parameter based on the sensing positioning parameter estimator; based on the channel characteristics of communication between the 5G AeroMACS multi-antenna base station and the single-antenna communication terminal, minimizing and optimizing the lower bound of the estimation error to obtain an optimal beam forming parameter; and controlling the 5G AeroMACS multi-antenna base station to send a signal by adopting the optimal beam forming parameter so as to complete communication and positioning between the 5G AeroMACS multi-antenna base station and the terminal. According to the invention, high-precision real-time navigation and efficient communication of the high-dynamic terminal on the airport scene can be realized.

The invention discloses an MISO-oriented covert communication optimization method and system, and the method comprises the following steps: (1) constructing an MISO-oriented covert communication system model which comprises a transmitter with multiple antennas, a receiver with receiving and interference functions, and a listener; (2) constructing an optimization problem of the MISO-oriented covert communication; (3) converting the optimization problem into a convex optimization problem; and (4) carrying out iterative solution on the convex optimization problem until values of Pa, ua and ub when the value of the average covert rate R is maximum are obtained, and outputting the values as an optimal covert communication strategy. According to the invention, high concealment and high communication rate are realized at the same time.

The invention discloses a time domain channel estimation method and device based on a multi-antenna diversity technology, and the method comprises the steps: mapping a bit stream into a symbol stream to construct a transmitting signal matrix, carrying out the STBC coding, inserting a time domain pilot signal, obtaining a matrix after insertion, selecting a vector in the matrix after insertion, and carrying out the time domain channel estimation. The method comprises the steps of obtaining a frequency domain receiving signal by combining with relevant parameters of Gaussian white noise and a Rayleigh fading channel, then performing matrix transformation to obtain an STBC decoding matrix, introducing a weight matrix to update an established MIMO-OFDM system input and output model to obtain a time domain channel estimation value, and finally performing FFT transformation on the time domain channel estimation value to obtain a frequency domain channel matrix estimation value. And substituting the frequency domain channel matrix estimation value into the STBC decoding matrix and then carrying out ML signal detection to obtain a final estimation value. A channel estimation algorithm is introduced to improve the estimation of a dynamic channel, a space-time block coding technology is combined to improve the demodulation signal precision of a MIMO system, and the full-state channel of the MIMO system is estimated.

Systems and methods for the use of multiple-antenna-panel simultaneous physical uplink shared channel (PUSCH) transmissions are disclosed herein. A sounding reference signal (SRS) resource set indicator corresponding to a pair of SRS resource set may be provided by a network to a user equipment (UE), where the pair of SRS resource sets includes a first SRS resource set for a first PUSCH on a first antenna panel of the UE and a second SRS resource set for a second PUSCH on a second antenna panel of the UE. The UE may also receive, from the network, a pair of SRS resource indicators (SRIs). The UE may match each of the SRIs to one of the SRS resource sets based on the SRS resource set indicator. The multi-panel simultaneous PUSCHs are then transmitted on the antenna panels according to the matching of the SRS resource sets to the SRIs.

The present application relates to devices and components including apparatus, systems, and methods to perform a codebook-based SRS transmission. In an example, eight or more antenna ports are used for the codebook-based SRS transmission. In this example, a UE can be configured by a base station for the codebook-based SRS transmission, whereby the configuration indicates a particular comb configuration, symbol index configuration, and / or cyclic shift configuration to allow the use of the eight or more antenna ports.

Various aspects of the present disclosure relate to a communication device (e.g., a user equipment (UE)) that has a transceiver and a set of antenna panels. The communication device transmits a signal from the transceiver, where the signal is transmitted simultaneously as a maximum power reference signal from a best beam in each antenna panel of the set of antenna panels for a measurement of effective isotropic radiated power (EIRP) in a transmission direction. Additionally, the communication device receives a reference signal, and demodulates the reference signal independently for each antenna panel of the set of antenna panels for a measurement of effective isotropic sensitivity (EIS) in a reception direction.

The invention provides a STAR-RIS auxiliary transmission passive Internet of Things performance enhancement method, and aims to solve the problems of half-space limitation and low energy and information transmission efficiency of an RIS auxiliary passive Internet of Things. According to the invention, the STAR-RIS is deployed between the passive BDs and the access point to assist the BDs to transmit information to the access point, so that the total space distribution of the BDs is realized. In addition, beamforming is constructed at an energy station configured with multiple antennas to improve energy transmission efficiency. The invention provides an iterative algorithm based on a double-layer frame, and aims to solve the problem of joint optimization of a beam forming vector based on NOMA and an STAR-RIS element coefficient, and maximize the system sum rate, thereby remarkably improving the performance of a passive Internet of Things system.

Devices and systems for increasing the gain and / or offering multiple antenna frequencies while conserving space on the antenna are provided. According to various aspects of the technology, panels with antenna elements are stacked to create a MIMO antenna array with more antenna elements while conserving space. In some aspects, the antenna elements are the same size and produce the same frequency while their physical configuration increases the gain of the antenna. In alternative aspects, the antenna elements are different sizes and produces different frequencies such that the antenna offers a greater variety or bandwidth of frequencies while conserving physical space on the antenna (i.e., maximizing a total quantity of antenna elements associated with the antenna). Using an antenna system and device with an increased quantity of antenna elements increases one or more of the system capacity, data rates, reliability, gain, coverage range, and the like.

A method for positioning includes: transmitting, from a user equipment (UE), a UE capability message indicating a capability of the UE to process one or more positioning reference signals (PRS) transmitted from one or more transmission antennas and received at one or more reception antennas of the UE; receiving, at the UE, assistance data including information for processing the one or more PRS transmitted from the one or more transmission antennas based on the UE capability message; receiving, at the one or more reception antennas of the UE, the one or more PRS from the one or more transmission antennas; and obtaining one or more measurements based on the one or more PRS and associating each of the one or more measurements with one of the one or more transmission antennas as a PRS source antenna and one of the one or more reception antennas as a PRS reception.

The invention discloses a multi-antenna joint precoding Gbit wireless transmission system, which relates to the technical field of wireless communication and comprises a frequency spectrum channel acquisition module, a signal preprocessing module, a precoding joint optimization module, a transmission performance evaluation module and a closed-loop parameter control module. The spectrum channel acquisition module acquires signal data and evaluates a transmission bit error rate and a signal-to-noise ratio by using a spectrum analyzer; the signal preprocessing module performs denoising and normalization and constructs a channel model; the precoding joint optimization module dynamically adjusts precoding and suppresses bit error diffusion; the transmission performance evaluation module calculates a data rate and optimizes protocol design; and the closed-loop parameter control module dynamically configures system parameters to guarantee closed-loop optimization. According to the method, the transmission efficiency and the stability of a Gbit wireless transmission system are remarkably improved, a complex channel environment is effectively dealt with, the bit error rate is reduced, the data rate is improved, a transmission protocol is optimized, intelligent dynamic adjustment of system parameters is realized, and the optimal performance of a multi-antenna joint precoding technology is ensured to be exerted.

The invention provides a multi-antenna MIMO architecture synchronization method and device, a program product and a storage medium, and relates to the technical field of wireless communication. Receiving sampling signals through a plurality of receiving channels; performing down-sampling on each sampling signal to obtain a down-sampling signal; determining a plurality of cache regions to store each downsampling signal, and performing cross-correlation operation on each downsampling signal and a local synchronous time domain signal; when any receiving channel detects an effective peak value, determining the position of the effective peak value as a preliminary synchronization position; determining a corresponding search window range, and performing weighted stacking on the target cross-correlation results to obtain an overall correlation peak value; searching a maximum value in all the total correlation peak values, and determining a position corresponding to the maximum value as a final synchronization position; and calculating a frequency offset estimation value of each receiving channel according to each pilot signal, and carrying out weighted average on each frequency offset estimation value to obtain a final frequency offset estimation value. By adopting the method, the wireless frame synchronization precision can be improved.

The invention discloses an intelligent covert communication method and device based on artificial interference and 3D beamforming, and the method specifically comprises the steps: firstly building a multi-antenna covert communication system model based on channel state information and antenna gain network parameters; then, based on a radio frequency signal receiving principle, establishing a signal detection model of the monitoring machine, calculating an omission ratio and a false alarm rate of the monitoring machine, obtaining a minimum error detection probability of the monitoring machine, and establishing an optimization problem of hiding rate maximization; constructing a depth determination strategy gradient (DDPG) neural network; and finally, on the basis of the DDPG neural network, an intelligent covert communication algorithm based on artificial interference and 3D beam forming is adopted, and the covert rate of the covert communication system is optimized. According to the method, the transmission rate of the legal receiver can be maximized under the condition of meeting the concealment limitation, the communication performance and the concealment performance are enhanced, and the intelligent concealed communication requirements in various scenes can be met.

The invention relates to a multi-antenna information transmitting method, network equipment and a storage medium, and relates to the technical field of communication. The method comprises the following steps: detecting the downlink congestion degree of a remote radio unit (RRU) and the existence state of a target service to obtain a detection result; determining the working mode of the RRU based on the detection result; wherein the transmitting ports of the RRU in different working modes are in different working states; and sending information to a terminal side through the determined working mode of the RRU. Through the method, the starting of the transmitting port can be adapted to the actual demand of information transmission, and unnecessary starting of the transmitting port can be avoided while the transmitting demand is met, so that the purposes of saving energy consumption and improving user perception can be achieved, and the information transmission effect in a multi-antenna mode is improved.

The present invention discloses an unified multiple access (MA) based system for uplink transmission of data by multiple users. The system comprises an user interface integrated transmitter modules for transmitting the data from multiple user transmitters over waveforms through a cooperative unified data grid structure including grid points, said unified data grid structure including each user transmitter allocation of a few non-overlapping grid points for loading respective data bearing symbols, with zeros loaded onto unallocated grid points. The user transmitter is configured to transmit a sparsely loaded grid resembling to the unified two-dimensional data grid structure involving data-bearing Quadrature Amplitude Modulation (QAM), where a part of available grid points of the grid as allocated is loaded with QAM symbols and remaining grid points are loaded with zero symbols. A waveform modulator corresponding to user transmitter is also provided in the present system for waveform modulation of said sparsely loaded grid as per the waveforms enabling transmission for multi-antenna reception of the waveforms to a base station or an access point.

The invention discloses a multi-antenna charger mobile energy supplement method based on deep reinforcement learning, and belongs to the field of wireless rechargeable sensor networks. In consideration of the problems of limited charging coverage of a single-antenna directional mobile charger (DMC) and timeliness of charging response of a sensor node, only charging scheduling of the multi-antenna DMC is considered in current research work, and the effect of improving the charging strategy by the multi-antenna DMC through dynamic adaptation and long-term optimization is not considered. According to the invention, the charging scheduling of the multi-antenna DMC is optimized based on a deep reinforcement learning algorithm DDQN, and the optimal charging cluster is intelligently selected and the charging scheduling strategy of the multi-antenna DMC is optimized at the same time by analyzing the request information of the sensor node and the network state. The all-dimensional charging coverage of the DMC on each cluster sensor node is realized, and the charging request of the sensor node is responded in time. The method provided by the invention can improve the overall charging efficiency of the network, reduce the death rate of the sensor nodes, and achieve the purpose of prolonging the service life of the wireless rechargeable sensor network.

The invention relates to the technical field of communication, and discloses an anti-interference communication sensing integrated beam forming method and system. The method comprises the following steps: generating an integrated waveform based on an orthogonal signaling base and a random data symbol; the sensing ranging performance is evaluated through periodic and non-periodic autocorrelation functions, time-frequency resource allocation of the waveform is optimized based on the performance, and an optimized waveform is generated; obtaining channel state information, carrying out interference source identification, and calculating a beam forming weight according to an identification result; mapping the optimized waveform to a time-frequency resource lattice of a frame according to orthogonal frequency division multiplexing to generate a frame structure signal; inputting the frame structure signal into a multi-antenna array, and regulating and controlling the phase and amplitude of each antenna unit through a beam forming weight to form a directional beam with a main lobe aligned with a target and a null aligned with interference; the target and interference changes are monitored in real time, the beam forming weight and waveform time-frequency resource allocation are dynamically updated, the anti-interference capability is improved, and the communication perception integration performance is enhanced.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may detect a first communication, associated with a first subscriber identity module (SIM) operating in a connected mode, that is at least partially overlapping in a time domain with a second communication associated with a second SIM operating in an idle mode. The UE may detect that a transmit chain associated with the first SIM and a receive chain associated with the second SIM are sharing an antenna switch. The UE may perform a preventive action based at least in part on the first communication associated with the first SIM overlapping in the time domain with the second communication associated with the second SIM while the transmit chain associated with the first SIM and the receive chain associated with the second SIM are sharing the antenna switch. Numerous other aspects are described.

Various aspects of the present disclosure relate to a communication device (e.g., a user equipment (UE)) that transmits a first signal via a first antenna panel of a set of antenna panels to a first transmission-reception point (TRP) in a first transmission direction, and transmits a second signal via a second antenna panel to a second TRP in a second transmission direction. The communication device limits interference between the first antenna panel and the second antenna panel, where the interference by the first antenna panel is limited based on effective isotropic radiated power (EIRP) from the first antenna panel in the second transmission direction toward the second TRP, and the interference by the second antenna panel is limited based on the EIRP from the second antenna panel in the first transmission direction toward the first TRP.

The present invention relates to the technical field of wireless communications. Disclosed are a deep learning-based CSI compression feedback method and system for a multi-antenna MIMO system. The method comprises: acquiring raw CSI data, and preparing a neural network model training set; on the basis of the acquired data, constructing a U-Net neural network model integrated with a Transformer; training the neural network model offline to obtain a trained neural network model; and performing metric evaluation on the trained neural network model. The present invention improves the CSI compression efficiency and reconstruction accuracy of the multi-antenna MIMO system, accelerates data processing and feedback speed, enhances model adaptability, and achieves accurate restoration of compressed data. In addition, the multi-scale convolution and skip connection design of the network preserves more details, thereby improving reconstruction quality. An optimized network structure not only reduces the amount of calculation, but also improves processing speed, so that the model can adapt to various channel environments and communication scenarios.

The invention relates to a method for assisting ground user communication by a multi-antenna unmanned aerial vehicle, belongs to the field of unmanned aerial vehicle assisted communication, and solves the limitation of a single-antenna unmanned aerial vehicle in the aspects of signal concentration and directional transmission. Comprising the following steps: constructing a multi-antenna unmanned aerial vehicle assisted multi-ground user communication system, and calculating a steering vector from an unmanned aerial vehicle to each ground user; calculating a channel gain from the unmanned aerial vehicle to each ground user based on the steering vector; calculating a communication rate between the unmanned aerial vehicle and each ground user based on the channel gain; constructing an unmanned aerial vehicle assisted ground user communication optimization model which takes maximization of the average communication rate between the unmanned aerial vehicle and multiple ground users as an optimization objective function and meets user scheduling constraints, unmanned aerial vehicle communication performance constraints, unmanned aerial vehicle transmitting power constraints and unmanned aerial vehicle flight trajectory constraints; and solving the unmanned aerial vehicle assisted ground user communication optimization model to obtain an optimal communication solution of the unmanned aerial vehicle and the multiple ground users. And the signal can accurately reach the ground user.

Provided in the present disclosure are an uplink transmission control method and apparatus, and a communication device, a communication system and a storage medium. The method comprises: when a terminal applies a first mode to support a multi-antenna-panel simultaneous transmission scheme, a network device sending first information to the terminal, so as to configure the terminal with a plurality of sounding reference signal (SRS) resource sets, which function as codebooks, wherein different SRS resource sets respectively correspond to a plurality of transmission and reception points (TRPs) or a plurality of beam transmission configuration indication (TCI) states, each SRS resource set is configured to comprise at least the number N of SRS resources, each SRS resource comprises the number maxRank / N of SRS ports, antenna ports of each SRS resource all belong to the same antenna panel of the terminal, maxRank represents the maximum number of transmission layers which are correspondingly configured for a single-TRP transmission scheme, and N represents the number of antenna panels. An SRS resource configuration mode can effectively support the transmission backoff of a physical uplink shared channel (PUSCH).

The invention provides a communication auxiliary sensing system and method based on an intelligent super surface (RIS). The communication auxiliary sensing system comprises a multi-antenna base station, a multi-user terminal and an active RIS. According to the system, an uplink pilot frequency and a data signal are jointly utilized, an expectation maximization (EM) algorithm is adopted to iteratively recover equivalent channel state information (CSI), and a Cramer-Rao bound (CRB) of sensing performance is deduced. Combined optimization of user precoding and RIS reflection coefficients is innovatively proposed under the uncertainty of CSI, so as to minimize CRB and guarantee user communication rate at the same time. An original problem is converted into a processable form by establishing a traversal MIMO spectrum efficiency compact lower bound, and efficient optimization is realized by combining a WMMSE method with a block coordinate descent (BCD) frame. According to the scheme, the sensing precision and the spectrum efficiency are remarkably improved, the method is suitable for an active RIS-assisted MU-MIMO network, and the technology can also be expanded to a traditional RIS-free system.

The invention discloses a terahertz hybrid precoding method for liquid crystal response time delay. The method comprises the following steps: setting a multi-antenna array and a broadband channel based on a terahertz large-scale MIMO system of a liquid crystal phase shifter and terahertz channel characteristics; performing preliminary decoupling on the coupled digital precoding and analog precoding; constructing a function about the influence value of the phase shifter to obtain a final approximate optimal precoding matrix under the time delay response of the liquid crystal phase shifter; and calculating the communication performance of the phase shifter response time delay-oriented hybrid precoding method. According to multi-antenna array setting and beam coherence time, constraint conditions of maximum allowable phase shift delay are constructed, after the constraint conditions are optimized, coupled digital pre-coding and analog pre-coding are preliminarily decoupled through a communication rate maximization method, and then an approximate optimal pre-coding matrix and corresponding communication performance are obtained. The problem that terahertz hybrid precoding cannot be carried out for liquid crystal response time delay characteristics is solved.