4051 results about "Beamforming" patented technology

The invention relates to a multi-microphone array beam forming signal enhancement method and device, and the method comprises the steps: obtaining a multi-channel time domain signal collected by a multi-microphone array, and carrying out the time-frequency conversion, and obtaining a plurality of time-frequency domain signals; acquiring a spatial distribution vector of the multi-microphone array, and performing deformation compensation processing on the complex number of time-frequency domain signals to obtain sound field consistency signals; performing sound source direction feature extraction on the sound field consistency signal, and performing complex time-space attention beam forming network processing to obtain a beam forming signal; performing beam direction and gain parameter optimization on the beam forming signal through a preset adversarial environment simulator to obtain a dynamic frequency band enhanced signal; and performing inverse time-frequency conversion on the dynamic frequency band enhanced signal, and performing low-delay optimization to obtain a target quality voice output signal. According to the invention, signal deformation compensation can be carried out more accurately.

The invention discloses an RIS-assisted unmanned aerial vehicle network-based communication and sensing integrated system and method. The system comprises a UAV, an MBS module, a user communication association decoupling module and an RIS module. The RIS intelligent reflecting surface and the unmanned aerial vehicle network are applied to the communication and sensing integrated system. In consideration of different service requirements in the system, the process is divided into a communication part and a sensing part. And a deep reinforcement learning algorithm is designed according to the requirements of the system to control the UAV flight path, base station beam forming, user association allocation and RIS phase shift in the system, so that the communication and sensing performance in the communication and sensing integrated system is optimal. According to the invention, while all functions of an original communication and inductance integrated system are reserved, RIS and unmanned aerial vehicle networks are introduced to assist the system, and an alternate iterative optimization method and a deep reinforcement learning algorithm are used to realize scheduling and decision-making of each resource. Compared with the prior art, additional channel gain is provided, and the distribution efficiency of communication sensing resources is improved.

The invention discloses a precise interference avoidance method and device in a radio system, and relates to the field of signal processing, and the method comprises the steps: constructing a sensing matrix through sensing node data, and capturing a transient interference signal through aperiodic scanning; performing tensor decomposition on the signal data to extract time domain, frequency domain, space domain and modulation domain features, constructing a dual-mode spectrum analysis model, reconstructing an instantaneous spectrogram by using compressed sensing, and predicting an interference mode through LSTM; after the instantaneous spectrogram and the predicted interference graph are fused, threat assessment is carried out through a multi-stage interference classification model; according to the interference category and the threat level, beam forming is optimized, adaptive null is generated, a power density optimization model is constructed, and the transmitting power is dynamically adjusted; an anti-interference frequency hopping sequence is generated based on a chaotic mapping algorithm, and spectrum camouflage and tracking interference resistance are realized. The method has the advantages that accurate identification and dynamic avoidance of interference are realized through multi-dimensional perception, intelligent prediction and adaptive beam forming, and the interference avoidance capability of a wireless system is improved.

Methods, devices, and computer-readable media are provided that enable a reconfigurable intelligent surface (RIS) to shape a beam being redirected by the RIS for robustness whether the RIS is integrated at a transmitter, such as a base station or a user equipment (UE), or the RIS is a separate entity from the transmitter. An example method includes beamforming the signal to be transmitted, the beamforming comprising applying beam coefficients to a transmitter. The example method further includes determining configuration information for a reconfigurable intelligent surface (RIS) enabling modification of the signal that impinges on the RIS. The configuration information for the RIS pertains to beam direction, beam shape, and beam robustness of the redirected beam.

According to the 5G portable WiFi signal enhancement method and system provided by the invention, surrounding environment data are collected through an environment sensing sensor, and a device placement scheme is optimized in combination with a deep learning algorithm, so that the signal coverage range is expanded; the strategy of dynamically adjusting the transmitting power, the signal frequency and the modulation mode can optimize the signal strength according to the environmental change; interference signals are analyzed through quantum calculation, null is formed through the beam forming technology, interference signal receiving is effectively restrained, and the signal strength in the target direction is enhanced. In combination with the Internet of Things technology, uploading equipment state data to an edge server in real time for big data analysis, and pushing a personalized signal enhancement scheme according to different user use environments; through precise placement guidance and a dynamic frequency band switching strategy, a user can enjoy smoother network connection in a use process, and good signal quality is ensured to be kept in a complex environment. According to the invention, not only can the signal quality of 5G portable WiFi be improved, but also more intelligent and personalized network experience can be provided for users.

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.

The invention discloses an intelligent sound effect processing system for an automobile DSP (Digital Signal Processor) power amplifier, particularly relates to the field of optimization of a vehicle-mounted sound system, is used for solving the problem of insufficient sound effect consistency and intelligent adaptation in a dynamic sound field, and is characterized in that acoustic data are acquired in real time through a microphone array, and a three-dimensional acoustic geometric model is constructed by combining ray tracing and an image source method; sound wave propagation paths and dynamic changes are accurately captured; frequency bands of low-frequency, intermediate-frequency and high-frequency signals are divided, spectrum distribution differences and gain fluctuation centers of all seats are evaluated, and a sound field consistency adjustment coefficient is generated and used for guiding design and optimization of a directional beam forming filter, adjusting amplitudes and phases of all sound channels, forming directional sound beams and suppressing noise interference; therefore, the method can dynamically adapt to the acoustic environment change in the vehicle, improves the sound effect balance and high fidelity, and enhances the auditory experience and satisfaction of passengers.

A device capable of using image data for purposes of determining a location of a user and audio beam selection to isolate audio in the direction of the user. The beamforming / beam-steering may occur after determining the user's location in order to conserve computing resources that would otherwise have been spent determining beams for non-desired directions. The beamformed audio may be used for speech processing, a communication session involving the device, or other purposes.

The invention relates to an anti-deception-interference joint detection method and system based on space-time frequency, and the method comprises the steps: obtaining a signal source direction of a received satellite signal, and dividing the signal source direction into channels according to angles based on a beam forming criterion; based on a preset capture rule, initiating capture search for the signal in each channel, and synchronously performing correlation peak detection and array antenna anti-interference detection on the signal to obtain angle information of the signal in each channel and satellite PRN information in the capture process; null processing is carried out on the signal source directions of two or more satellite signals appearing at the same angle; outputting a capture result based on the capture rule, and tracking the capture result conforming to the capture rule; doppler frequency shift consistency detection and signal power calculation are carried out on the signals subjected to rotation tracking, and deception signals are recognized and fed back to the antenna array for filtering processing. The application has the effects of expanding the application range of the anti-deception jamming detection method and improving the anti-jamming capability of navigation positioning.

Example embodiments of the present disclosure relate to channel state based beamforming enhancement. A first device receives, from a second device, a second message indicating a second channel state. The second message has a second length less than a first length of a first message indicating a first channel state previously received from the second device. The first device obtains combined beamforming features of the second device according to a trained combining model associated with the second device and based on the second message and historical beamforming features of the second device. The first device generates a beam weight for the second device according to a trained beamforming model and based on the combined beamforming features. The first device may generate a beam weight for the second device according to the beamforming model without recovering CSI from the message.

The invention relates to the field of intelligent warehousing, and discloses an intelligent clothing inventory real-time monitoring and automatic checking system based on RFID, which aims at solving the problems of poor environmental adaptability, high dynamic sensing delay, high cross-scene deployment cost and the like in the prior art, and comprises a reconfigurable RFID tag, an integrated spiral-dipole composite antenna and a temperature compensation circuit, dual-band switching of 860 to 960 MHz and self calibration are supported; a heterogeneous read-write network is formed by a fixed reader-writer and AGV mobile nodes, and signal coverage is enhanced through beam forming; the edge calculation module adopts an LSTM trajectory prediction and hybrid filtering algorithm to realize millisecond-level processing; the cloud platform maps the inventory in real time based on the digital twin model and traces the source of the block chain, the dynamic time slot distribution protocol optimizes the cooperation of the reader-writer, and the transfer learning model realizes cross-scene rapid adaptation. According to the invention, the tag reading rate is 99.7%, the inventory efficiency is improved by 300%, the deployment period is shortened by 80%, and the problems of accurate inventory management and dynamic tracking in a complex environment are solved.

The method focuses on the technical field of communication, and the communication connection problem under the cooperative operation scene of the unmanned vehicle and the unmanned aerial vehicle is accurately positioned. In practical application, communication connection is troubled by a complex environment, signals are prone to strong interference, the transmission distance is obviously limited, and double requirements of real-time performance and accuracy are difficult to consider in the aspect of data transmission characteristics during cooperative operation of the two. According to the invention, ZigBee, 5G, satellite communication modules and multi-mode communication modules are integrated, an adaptive protocol is optimized, channels are sensed in real time, the channels are selected and switched through an intelligent algorithm, signals are enhanced through directional antennas and beam forming, interference resistance is realized through adaptive filtering and error correction coding, and stability is guaranteed by means of link monitoring and a self-healing mechanism. According to the method, reliable interaction of data between the unmanned vehicle and the unmanned aerial vehicle in a complex environment can be ensured, and real-time and accurate transmission of monitoring data can be ensured even in case of strong electromagnetic interference or severe weather.

A system and method of targeting spatialized audio to ears of a listener, comprising sensing characteristics of an environment comprising at least one human by receiving radio frequency signals with a radio receiver; using the sensed characteristics in at least one automated processor to analyze at least one human dynamic physiological pattern of each human and estimate a body pose and head position within the environment of each human based on the sensed characteristics and the at least one human dynamic physiological pattern; and using an estimated position of the ears of each human in conjunction with a head-related transfer function in a spatial audio system to generate spatialized audio.

The invention provides an unmanned aerial vehicle (UAV)-based flux-inductance integrated beam forming and trajectory optimization method, on one hand, an FP-AROS method is proposed based on fractional programming and semi-definite relaxation technologies in combination with approximate rank-one solution construction to carry out optimization design on ISAC beams, the Cramer-Rao bound of AoD is adopted as a sensing performance evaluation index, and the FP-AROS method is adopted to carry out optimization design on the ISAC beams; target estimation performance can be reflected more directly, so that a collaborative optimization effect of communication and sensing performance is realized; on the other hand, the invention provides an improved continuous convex approximation method based on a trust domain, and the method is used for optimization design of a UAV track. The ITRSCA method obtains a local trend approximate solution of an original objective function by calculating a second derivative, and introduces a dynamic trust domain mechanism to control approximate precision, so as to ensure global convergence of an output solution; in addition, the method is combined with a penalty function method to process non-convex constraints, and the limitation of a trust domain method in a constrained optimization problem is effectively overcome.

Provided are a terminal apparatus and a communication method capable of improving reliability and frequency efficiency in a case that transmission is performed by beamforming. A receiver configured to receive a DMRS, DCI, and a PDSCH, and a decoding unit configured to decode the PDSCH are included, wherein the DCI includes a transmission configuration indicator (TCI) and the number of DMRS antenna ports, the TCI is information indicating a spatial reception filter for receiving the DMRS, the PDSCH includes a transport block, and in a case that two of the TCIs are indicated and the number of DMRS antenna ports is less than or equal to a prescribed number, and that the DCI includes a configuration of one transport block, the PDSCH transmitted from a part of the DMRS antenna ports is received based on a first TCI, and the PDSCH transmitted from a rest of the DMRS antenna ports is received based on a second TCI to decode the one transport block.

Various embodiments of the present disclosure provide a method performed by an electronic device in a wireless communication system. The method may comprise receiving, from a base station (BS), a radio resource control (RRC) signal including information related to a number of bits in a downlink control information (DCI) field required to represent indicatable beams, receiving, from the base station, DCI including the DCI field for a beam indication of a beam used in an access link between the electronic device and at least one user equipment (UE) among the indicatable beams, and transmitting or receiving a signal with the at least one UE based on the beam indication.

The invention relates to the technical field of artificial intelligence, and discloses a Bluetooth communication intelligent speech translation method and system based on multi-mode enhancement, and the method comprises the steps: collecting a multi-channel audio signal through a built-in multi-microphone array of a Bluetooth device, carrying out the dynamic direction self-adaptive beam forming of the multi-channel audio signal, and carrying out the self-adaptive beam forming of the multi-channel audio signal; extracting a Mel spectrogram feature of the direction enhancement signal, identifying lip regions of a plurality of candidate speakers in each frame of real-time speaking video captured by a camera, performing time sequence convolution on the lip regions to obtain a lip movement time sequence embedded vector, calculating a correlation score with the Mel spectrogram feature, separating the direction enhancement signal, and obtaining a lip movement time sequence embedded vector; and performing text transcription and conversion on the high-confidence separation voice to obtain a translation language text, and sending the synthesized target translation voice to a preset mobile terminal through the Bluetooth device to obtain a target translation result. According to the method, the real-time performance and accuracy of speech translation are improved in a multi-person scene, far-field speech, noise interference and accent difference.

The invention discloses a secure communication and perception integrated design method, which introduces RIS and RSMA into ISAC, aims at maximizing beam gain in a perception direction, establishes system communication and perception performance indexes, further designs optimal beam forming at a base station and an active RIS, and achieves performance balance of secure communication and perception. The method disclosed by the invention not only ensures the balance of safety communication and sensing performance, but also is superior to a conventional sensing and communication integrated scheme based on space division multiple access assisted by a passive intelligent reflecting surface.

A method by a RU node for performing frequency-domain beamforming for communication between a base station (BS) and UEs in a network using a multiple antenna system, the BS including a DU node connected to the RU node, the method including: obtaining uplink signals including K user-layer signals overlaid with interference signals and noise as received at N antennas from a number of UEs; determining: a channel estimation matrix H of wireless communication channels between a number of UEs and N antennas; an estimate of an Interference plus Noise covariance matrix Q based on H and other channel information; a first part beamforming weights, BFWs; an effective channel matrix Heff based on H and the first part BFWs; and intermediate uplink signals having K components and based on the uplink signals and the first part BFWs; and sending Heff and the intermediate uplink signals towards the DU node.

The invention relates to a beam forming design method of an active RIS-assisted ISAC system, and belongs to the field of communication perception integration. A multi-user large-scale multiple-input single-output system model assisted by communication and perception integration and a system model based on an ISAC system assisted by an active RIS are constructed, and a beam forming vector and a reflection coefficient of the active RIS are respectively optimized by adopting an alternating optimization algorithm. According to the method, the propagation blockage problem is solved, the system performance is further improved, the multiplicative fading effect problem of the passive RIS is solved by using the active RIS, the weighted minimum mean square error algorithm, the continuous convex approximation algorithm and the positive semidefinite relaxation algorithm are combined, the system effectiveness is improved to the maximum extent, and the system performance is improved to the maximum extent. The system utility is the sum of the weighted sum rate of the system and the target detection power, the target detection capability is remarkably enhanced while the weighted sum rate of the user is improved, and a new solution is provided for performance optimization of the ISAC system.

The invention discloses an FDA-MIMO radar multichannel coherent accumulation method based on distance-frequency offset compensation, and belongs to the technical field of radar moving target detection. The method comprises the following steps: obtaining an echo signal of a target by using a two-dimensional planar array FDA-MIMO radar; performing multi-channel matched filtering on the echo signal, and performing FFT (Fast Fourier Transform) at slow time to realize pulse accumulation; performing covariance matrix calculation to obtain a noise subspace and a signal subspace; searching an azimuth angle and a pitch angle of the target, and obtaining a distance-frequency offset coupling compensation vector based on characteristic decomposition; and performing multi-channel beam forming, performing coherent synthesis on multi-channel signal energy, and performing target detection by using a constant false alarm rate. According to the method, the output signal-to-noise ratio can be remarkably improved, the calculation complexity of coherent accumulation is reduced, and when an error exists in target distance estimation or a Doppler effect is generated by frequency offset, compared with a MUSIC algorithm, the method can obtain higher coherent accumulation gain.

The invention belongs to the technical field of radar signal processing, and discloses a radar scattering rapid test method based on polarization decomposition. Comprising the following steps: scanning a target 3D model, simulating scattered field distribution in different incident angles and polarization modes, calculating polarization contrast, and identifying a polarization sensitive area; establishing a dynamic coordinate system conversion model, fusing RTK data, IMU data and laser tracking data, and correcting the position of the trolley and the model in combination with a Doppler frequency shift model and a least square method; calculating an optimal test path of the trolley according to the sensitive area by adopting a natural heuristic optimization algorithm; establishing a geometric environment model, obtaining a back scattering signal through beam forming, analyzing a polarization coherence matrix, obtaining a high-entropy region, and decomposing scattering components; according to the method, closed-loop optimization is formed from a data acquisition source to a scattering component analysis tail end, and the test efficiency and the real-time performance are remarkably improved.

An adaptive modular multimodal communication and computing panel includes a multilayer stack with a protective layer transmissive in selected bands, a reconfigurable communication layer operable in phased array, reflectarray, hybrid phased reflector, free space optical, or quantum modes, and electronics with heterogeneous processors. A multi scale interconnect and input and output fabric couples electrical, radio frequency, guided optical, and free space optical domains through interfaces including electro optic transduction and RF or baseband conversion. The fabric may implement programmable true time delay, resonators, and comb referenced timing. A management system coordinates beamforming, sensing, routing, calibration, workload placement, and security. Panels tessellate and connect by electrical, radio frequency, and fiber optic interfaces, supporting hot swappable modules, blind mate connectors, robotic servicing, and anti tamper features. Power and thermal subsystems harvest, store, regulate, and dissipate energy. The architecture scales from chip level modules to vehicle, airborne, maritime, orbital, and deployable systems.

The invention provides a directional pickup method, system and device and a storage medium, and relates to the field of pickup. The method comprises the following steps: performing MVDR beam forming processing on an initial voice signal input by a microphone array, and then extracting a BFCC feature and a fundamental tone frequency feature of the voice signal; and processing the BFCC features by using a pre-trained voice / noise separation DNN to obtain a time-frequency mask. And according to the fundamental tone frequency characteristics, adaptively designing comb filter parameters, and carrying out comb filtering on the initial voice signal. And taking the time-frequency mask as a weighting coefficient, respectively multiplying the weighting coefficient with the voice signal after comb filtering and the initial voice signal, and estimating target voice energy and noise energy. And calculating a Bark gain coefficient related to the frequency on the Bark frequency scale, wherein the Bark gain coefficient is used for enhancing the voice signal in the time-frequency domain. And finally, converting the enhanced voice signal into a time domain signal through inverse BFCC conversion to obtain a target enhanced voice pointing to the target direction. Through the scheme, the directional pickup effect is improved.

The invention provides a dual-unmanned aerial vehicle cooperative obstacle avoidance and communication link reconstruction system and method, and belongs to the technical field of wireless communication and unmanned aerial vehicle cooperative control. The system is composed of two unmanned aerial vehicles, serves as a mobile base station to provide relay communication for users, and cooperatively perceives an aerial target. The method comprises the following steps: establishing an integrated model integrating tracks, NOMA signals and layered continuous interference cancellation; calculating communication and sensing key indexes; constructing an optimization problem which takes maximization of the minimum average interaction rate between the unmanned aerial vehicles as a target and takes power, QoS, perception and security constraints into consideration; a distributed architecture is adopted to decompose problems, and a Dual-TD3 algorithm is proposed to collaboratively optimize beam forming and a flight path. According to the dual-unmanned aerial vehicle cooperative obstacle avoidance and communication link reconstruction system and method, dynamic intelligent distribution of communication and sensing resources is realized, and the interaction rate, the robustness and the resource utilization rate of the system in a dynamic scene are remarkably improved.

A method for optimizing uplink performance of Open Radio Access Network (O-RAN) system implementing O-RAN split option 7-2x-based uplink (UL) multiple-input multiple-output (MIMO) operation includes: selectively utilizing non-port reduced DMRS symbols and non-port reduced DMRS measurements to mitigate performance degradation of the UL MIMO in conditions involving high mobility for a user equipment (UE) and / or high interference. The non-port reduced DMRS symbols are DMRS symbols from multiple antenna streams before digital beamforming operation, and non-port reduced DMRS measurements are measurements derived from the non-port reduced DMRS symbols. A radio unit (RU) of the O-RAN system i) extracts the non-port reduced DMRS symbols, and ii) transmits the non-port reduced DMRS measurements to a distributed unit (DU) of the O-RAN system. The DU transmits combining and / or digital beamforming matrix elements to the RU for combining and / or digital beamforming matrix application.

According to the sound box directional broadcasting method and device, the equipment and the storage medium provided by the invention, the initial sound box parameters and the sound field data of the target area are acquired, and the sound field data comprise the sound box array position information and the site characteristic information; constructing an acoustic model of the target area according to the site characteristic information and the initial sound box parameters, and simulating a coverage effect of sound in the target area; according to a simulation result, optimizing the initial sound box parameter to obtain a target sound box parameter; and according to the target loudspeaker box parameter, setting a loudspeaker box array position and a beam forming parameter of the loudspeaker box in the target area. According to the invention, by accurately controlling the position of the loudspeaker box array and the beam forming parameters, the sound can be ensured to uniformly cover the target area, and the common problems of non-uniform sound, interference and the like in the traditional broadcasting system can be avoided at the same time. According to the directional broadcasting method, sound can be effectively concentrated to a target area, and interference to a non-target area is reduced.

An electronic device may be mounted to a main body of a removable case. The case includes a cover that rotates between open and closed positions. The device may convey wireless data and / or a control signal with the removable case over radio-frequency connectors, near-field communications (NFC) coils, connector electrodes, and / or wired data connectors. The removable case may relay the wireless data between the electronic device and a communications satellite in space. The case may include a phased antenna array in the cover. In the open position, the cover may point the phased antenna array towards the sky. The removable case may include beamforming circuitry in the cover and coupled to the phased antenna array. The control signal may control the beamforming circuitry to produce, using the phased antenna array, a signal beam oriented towards the communications satellite.

The invention discloses a directional broadcast multi-band interference suppression method based on dynamic beam forming, and relates to the technical field of computer processing, and the method comprises the steps: S01, synchronously capturing electromagnetic signals of at least two working bands through a heterogeneous band receiving array synchronized by a hardware-level clock; s02, analyzing space parameters of a target signal and an interference source in the electromagnetic signal in real time; s03, constructing a layered adaptive codebook based on the interference dynamic parameters; s04, fusing the target signal parameter and the interference dynamic parameter by adopting a block matrix acceleration algorithm and an orthogonal decomposition technology, and calculating a beam forming weight; s05, executing operation through the multi-band coprocessor; and S06, establishing an interference source azimuth drift prediction model, and setting a trigger threshold as the coverage tolerance angle theta. According to the method, the anti-interference real-time performance is improved by utilizing layered adaptive wave beams, frequency band isolation, super-resolution multi-path identification and block decomposition.

The invention relates to the technical field of wireless communication, in particular to an intelligent beam forming system and method for millimeter wave communication, and the system comprises a sensing module which is used for collecting multi-direction signal data in a millimeter wave communication environment and extracting environment feature information, and an intelligent decision module which generates a beam direction control strategy based on a deep reinforcement learning algorithm, the sub-region management module divides a communication region into a plurality of sub-regions according to a beam direction control strategy and allocates communication resources to each sub-region, and the beam control module adjusts the beam direction and power allocation of the antenna array according to the beam direction control strategy and the communication resource allocation result of the sub-regions. The feedback evaluation module obtains communication quality data after beam adjustment and generates a performance evaluation result, and the learning optimization module updates network parameters of a deep reinforcement learning algorithm according to the performance evaluation result and improves the environment adaptive capability.