768 results about "Multi antenna" patented technology

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.

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.

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 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 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 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 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 distributed intelligent metasurface cooperative communication and imaging integrated method, and belongs to the technical field of wireless communication and sensing. According to the method, a multi-antenna and multi-carrier frequency technology is adopted, and a plurality of reconfigurable intelligent metasurface RISs are utilized to cooperatively complete communication and imaging of a target region ROI. Firstly, an imaging target ROI is divided into a plurality of space grid units, and equivalent scattering coefficients of all the units form a vector to serve as a solving target. A plurality of RISs are installed at different positions of the ROI near field. Secondly, transmitting pilot signals for a plurality of times, and configuring different RIS phases; then, a receiving end obtains overall channel state information by using a channel estimation algorithm, and extracts channel components which finally reach a receiving antenna from a transmitting antenna through the ROI and the RIS in sequence; and finally, obtaining a sensing matrix, solving an equivalent scattering coefficient of the ROI unit by using a compressed sensing imaging algorithm, and completing target imaging.

The invention discloses a millimeter-wave radar system and electronic equipment and a control method thereof, and relates to the technical field of radars, and the millimeter-wave radar system comprises a signal receiving and transmitting circuit, a mechanical rotating antenna, a driving structure and a controller. According to the invention, double antennas are adopted to replace a multi-antenna array, the number of radio frequency link assemblies and a complex calibration process are reduced, the driving structure is utilized to realize continuous adjustment of the azimuth angle of the antennas, multi-angle scanning is realized, dependence on a high-frequency phase shifter or a special beam forming chip is not needed, and the system cost is reduced from the hardware architecture level. Meanwhile, the controller accurately and synchronously regulates and controls the rotation angle of the antenna and a radio frequency transmitting / receiving window, so that the beam pointing of the millimeter wave signal keeps time and space consistency in a signal transmitting stage and an echo receiving stage, and a target reflection signal is ensured to be effectively captured in the optimal residence time; therefore, the dynamic detection precision and the anti-interference capability are improved while the system structure is simplified.

A transceiver device, including a multi-antenna feeder array and a reconfigurable intelligent surface (RIS), where the multi-antenna feeder array includes a plurality of active antennas configured to transmit electromagnetic radiation based on a data stream pre-coded with a pre-coder. The RIS includes a plurality of passive antennas, each passive antenna is configured to receive the electromagnetic radiation from the multi-antenna feeder array and to re-transmit the received electromagnetic radiation with a respective adjustable phase shift. The transmission from the plurality of active antennas of the multi-antenna feeder array to the plurality of passive antennas of the RIS is defined by a transmission matrix, where the multi-antenna feeder array is configured to generate the pre-coder based on one or more generalized eigenvectors of the transmission matrix.

The invention belongs to the technical field of communication interference cancellation, and discloses an electromagnetic interference real-time monitoring and cancellation method based on a multi-antenna technology, which can realize comprehensive perception of an electromagnetic environment from a spatial dimension by utilizing the multi-antenna technology and through cooperative work of a main antenna and an auxiliary antenna. And an accurate basis is provided for timely coping with electromagnetic interference. Besides, an interference identification model is further constructed and is suitable for monitoring various different types of electromagnetic interferences, interference cancellation parameters and strategies are dynamically adjusted according to the interference types, high adaptability and flexibility are achieved, a cancellation algorithm is matched for the interference types, signals with the same amplitude and opposite phases as interference signals are generated, and the interference cancellation accuracy is improved. Therefore, the interference is quickly and effectively counteracted, and the normal operation of a satellite navigation communication system is ensured. In addition, according to the method disclosed by the invention, the anti-interference capability of the satellite navigation communication system in a complex electromagnetic environment can be remarkably enhanced, and the anti-interference tolerance is greatly improved.

The invention relates to the technical field of wearable device mutual-seeking positioning, in particular to a wearable device mutual-seeking positioning method and system based on an entry and exit principle, and the method comprises the steps: setting a base station, obtaining angle and distance information through a multi-antenna array, and carrying out the time slot positioning; constructing a shielding model by utilizing the equipment attitude information, and identifying a sight distance communication and signal shielding blind area; the Kalman filtering noise weight is adjusted by adopting a dynamic sector confidence gating strategy, a relative pose vector is solved in combination with geometric constraints, and a guide instruction is generated; in the near-field verification stage, a coding vibration sequence is transmitted, time domain wave packet cross correlation is calculated to confirm physical contact, and automatic search quitting is achieved. According to the invention, through a shielding model and a dynamic gating strategy, positioning drift caused by shielding is effectively inhibited, and the guiding robustness in a complex environment is improved; by means of coding vibration and a cross-correlation verification mechanism, misjudgment and real contact of the partition wall are accurately distinguished, and intelligent closed loop of guiding while entering and returning while contacting is achieved.

The invention provides a security robustness improvement method for unmanned aerial vehicle cooperative interference based on assistance of a reconfigurable intelligent reflecting surface. The method comprises the following steps: setting parameters; initializing parameters; calculating the beamforming of the base station; interference source beamforming is calculated; calculating a reflection coefficient of the reconfigurable intelligent reflecting surface; and judging whether the maximum number of iterations is reached or not, or judging whether the target function is converged, if so, obtaining the optimal base station beam forming, interference source beam forming, intelligent reflecting surface reflection coefficient reconstruction and system secrecy rate output, and if not, continuing iteration. According to the invention, by optimizing the beamforming of the multi-antenna base station, the beamforming of the multi-antenna interference source and the reflection coefficient of the reconfigurable intelligent reflection surface, the influence of uncertain oscillation of the unmanned aerial vehicle in the air is overcome, the secrecy rate of the unmanned aerial vehicle cooperative interference source system is improved, and the safety of the system and the oscillation robustness of the unmanned aerial vehicle are improved.

The invention provides a full-space intelligent metasurface-assisted vehicle tracking method and system. The system comprises a roadside unit RSU, a vehicle top IOS and an in-vehicle communication receiver CR. The RSU comprises an MIMO (Multiple Input Multiple Output) multi-antenna system; the IOS assists the RSU to communicate with the CR in the vehicle and track the vehicle, and high-precision vehicle tracking is realized by designing a customized extended Kalman filter (EKF) method and utilizing position side information provided by the IOS. According to the method, the IOS is utilized to assist the MIMO multi-antenna ISAC system, and the transmitting beam forming and IOS configuration of the RSU are jointly optimized, so that the sensing performance is remarkably improved, the CR communication rate is ensured, and particularly, excellent performance is shown under the conditions of high power and a large number of IOS units.

The present invention discloses a tag positioning method based on RFID technology, which mainly eliminates the positioning position interference problem caused by a single tag being read by multiple antennas. The method adopts the steps of designing a three-dimensional spatial model of the positioning area and combining it with a positioning algorithm for judgment. The interference values ​​are eliminated in sequence by using the advantages and disadvantages of the antenna spatial points, an RSSI ranking table combined with a tag data information table, and the weighted total score of the three major influencing factors of the tag data information. The method realizes the precise positioning of multiple tags in the application scenario, further reduces the misjudgment results, and improves the positioning accuracy of the tags.

A method of wireless communication includes determining a first precoding matrix indicator (PMI) value and a second PMI value, the first PMI value indicating a first matrix W1 of a first codebook C1, the second PMI value indicating a second matrix W2 of a second codebook C2, wherein the first matrix W1 and the second matrix W2 together define a precoding matrix W for multi-antenna transmission. The method also includes transmitting the first PMI value at a first periodicity, and transmitting the second PMI value at a second periodicity shorter than the first periodicity. In some examples, the method also includes transmitting a rank indicator (RI) value, where the first PMI value and the second PMI value are determined based on the RI value.

The invention provides a multi-antenna switching system and a control method. The system comprises a radio frequency interface module, a single-pole double-throw switch module, a single-pole three-throw switch module, a coupler, a band-pass filter, a power amplification module, a power detection module and a control module. The method comprises the following steps: controlling a current working antenna, and collecting a real-time performance data set of each group of antennas; evaluating and comparing all the antenna groups, and screening out a target antenna group; and judging whether the current working antenna and the target antenna group are the same group or not to perform antenna switching to obtain a new antenna group, and continuously monitoring the performance change of the new antenna group. According to the invention, the automatic selection and adaptive switching of the optimal antenna of the communication equipment under the multi-antenna condition are realized, the signal quality and stability are greatly improved, manual intervention is avoided, the self-healing and adaptive capabilities of the equipment are improved, the dynamic complex change of a network environment is supported, and the method can be widely applied to scenes such as 5G, Internet of Things, wireless communication and mobile terminals.

The invention relates to the technical field of communication interference detection, and particularly discloses an interference detection method based on an OFDM communication system, and the method comprises the steps: S1, signal preprocessing, S2, time-frequency joint analysis, S3, deep learning model construction, S4, multi-interference source positioning, S5, intelligent interference suppression, and S6, interference information feedback. According to the method, Gaussian noise and non-Gaussian interference can be effectively distinguished through a third-order cumulant and other high-order spectrum analysis method, nonlinear features of complex signals can be captured, and the detection accuracy of complex interference is remarkably improved; the combination of the convolutional neural network and the long short-term memory network can automatically extract complex features in interference signals, provide more accurate interference type classification, utilize a beam forming algorithm and a multi-antenna array technology to accurately position a plurality of interference sources, and through a space-time joint estimation method, under the condition of facing the plurality of interference sources, improve the accuracy of the interference sources. And the positioning precision is obviously improved.

A communication method and a related device relate to the technical field of communication. The method comprises the following steps: a network device sends P reference signals to a terminal device, the terminal device receives the P reference signals from the network device, the terminal device sends first channel information and / or second channel information to the network device, and the network device receives the first channel information and / or the second channel information from the terminal device; each reference signal in the P reference signals corresponds to N antenna ports, the P reference signals are used for determining first channel information and / or second channel information, P is an integer greater than 1, N is an integer greater than 1, the first channel information corresponds to one or more reference signals in the P reference signals, and the second channel information corresponds to N * P antenna ports, the N * P antenna ports correspond to P reference signals. According to the method, the CSI measurement on the CSI RS sent in a scene with more antenna ports can be supported, and the CSI measurement performance is improved.

The invention discloses an active isolation and ECC calculation method for a multi-antenna system. The method comprises the steps that multiple ports of the active multi-antenna system are excited at the same time; obtaining an S parameter and an excitation wave of each port; calculating active isolation based on the S parameter and the excitation wave, and calculating an envelope correlation coefficient ECC according to the S parameter of the antenna; the method has the advantages that antenna performance evaluation can be conveniently carried out under the condition that multiple ports of the multi-antenna system are excited at the same time, and therefore the optimization design of the antenna system is guided.

The invention discloses a millimeter wave communication transmission signal interference suppression method, and relates to the technical field of millimeter wave communication signal interference suppression, and the method comprises the steps: deploying a multi-antenna array and an ultra wide band detection module, collecting interference and useful signal features, and generating a data set; evaluating an interference level in combination with channel parameters, and establishing a mapping relation between interference and a channel; interference types are accurately classified through a deep learning model; differential suppression schemes are adopted for different interferences; dynamically adjusting suppression parameters; monitoring a suppression effect and feeding back optimization; and the adaptive capacity of complex scenes is improved based on historical data self-learning. According to the invention, accurate identification and differential suppression of interference are realized, and the anti-interference capability and the transmission stability are significantly improved; the interference and channel change are dynamically adapted, the self-learning ability enhances the adaptation to novel interference, and an efficient interference suppression solution is provided for millimeter wave communication.