1144 results about "Multi input" patented technology

The invention discloses a remote sensing image segmentation method based on enhanced and cross-level multi-input features. The method comprises the following steps: firstly, obtaining a high-resolution remote sensing image training sample set; the method comprises the following steps: designing a Swin Transform encoder based on channel enhancement, a cross-level multi-path input decoder and a feature refining module based on fractional order differential, and constructing a pixel-level semantic segmentation model; then, based on the high-resolution remote sensing image training sample set, training the pixel-level semantic segmentation model to obtain a trained pixel-level semantic segmentation model; and finally, based on the trained pixel semantic segmentation model, performing semantic segmentation on a to-be-processed high-resolution remote sensing image to obtain a semantic segmentation result of the to-be-processed high-resolution remote sensing image. According to the method provided by the invention, the problems of fuzzy boundary, small target loss and insufficient information processing during semantic segmentation of the high-resolution remote sensing image are effectively improved, and the precision of a pixel-level semantic segmentation model is improved.

The invention discloses an intelligent fault diagnosis method based on a multi-input neural network. The method comprises the steps of data acquisition, preprocessing, feature extraction, model training and fault judgment. A variety of sensor signals are collected from the device, de-noised and normalized to generate high quality features. Time domain and frequency domain features are extracted in combination with methods such as wavelet transform, deep learning is performed on feature data by using a neural network, and a potential fault mode is identified. Through the trained model, the system can detect and classify faults in real time, output fault levels and diagnosis reports, and provide support for equipment maintenance. The method is suitable for a large-scale complex environment, has high diagnosis precision and quick response capability, effectively improves the management efficiency, and reduces the non-planned downtime.

The invention relates to the technical field of power system stability control, in particular to a broadband oscillation suppression method and system for an offshore wind power flexible direct current grid-connected system and a medium, and the method comprises the steps: sequentially injecting positive and negative sequence perturbation sine harmonic signals at a grid-connected point of a wind turbine generator, constructing a multi-input multi-output impedance matrix, reducing the order of the multi-input and multi-output impedance matrix into single-input and single-output equivalent positive sequence impedance; the stability margin of the offshore wind power flexible direct current grid-connected system is obtained based on equivalent positive sequence impedance quantification; when the stability margin is lower than a preset margin threshold value, reconstructing the fan grid-side converter into a matrix control structure by cascading a weighting coefficient matrix between the inner and outer ring control loops of the fan grid-side converter; and iteratively optimizing the matrix type control structure based on impedance sensitivity, and synchronously connecting a low-pass filter in series in a voltage and current feedback channel to carry out impedance remodeling so as to finish broadband oscillation risk suppression. According to the invention, broadband oscillation suppression of the offshore wind power flexible direct current grid-connected system is realized through impedance modeling and a matrix type control strategy.

The invention discloses a human body posture reconstruction and tracking method based on a neural network, and relates to the technical field of posture reconstruction and tracking. Target echo data are acquired by adopting a multiple-input multiple-output (MIMO) antenna array, and a low-resolution three-dimensional radar image is constructed by adopting space-time weighting in combination with wavelet transform noise reduction and self-adaptive gain compensation; in the feature extraction stage, a Transform-based feature extraction network is introduced, short-distance joint details are processed in combination with a local convolutional neural network (CNN), the spatial correlation of a far-end joint is calculated by adopting a global self-attention mechanism, and a global feature enhancement (GFE) module performs feature completion on a low-confidence region; a hybrid memory network HMN is adopted to carry out short-time and long-time information fusion, a short-time memory unit STM is used to store current frame features, a long-time memory unit LTM is used to store historical key point data, a drift error is corrected in combination with time sequence alignment, and time sequence consistency of attitude estimation is guaranteed.

The invention belongs to the field of welding quality control of friction stir welding, and relates to a model-free self-adaptive control method for mechanical properties of an FSW joint. The FSW process is described as a disturbance-containing multiple-input-multiple-output discrete time nonlinear system, and the disturbance-containing multiple-input-multiple-output discrete time nonlinear system is converted into a tight-format dynamic linearization data model; a model-free adaptive controller is constructed according to a control input criterion function, and online estimation of control law parameters is realized in combination with a pseudo Jacobian matrix estimator; estimating the disturbance of the FSW system by using the FNNDO, and carrying out feed-forward compensation on the disturbance; and the joint mechanical property obtained through prediction serves as input of an FNNDO-MFAC controller, welding process parameters are dynamically adjusted through real-time feedback, and therefore precise control over the mechanical property of the FSW joint is achieved. The method does not need to depend on model parameters in the FSW process, through disturbance estimation and compensation of the FNNDO, the disturbance processing capacity of the MFAC is remarkably improved, and the self-adaptability of the system is effectively enhanced.

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.

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.

Aspects of this disclosure relate to a radio may include a transceiver configured to communicate signal packets. A radio may include a memory configured to store a multilayer process. A radio may include hardware processors in communication with the memory. The hardware processors may be configured to identify transmission parameter data at a time period between successful communications of the signal packets, store the transmission parameter data in a buffer in the memory, pass the transmission parameter data to the multilayer process to determine a plurality of potential operating configurations comprising at least one of a power operational setting, a frequency operational setting, a multiple-input multiple-output operational setting, or a time operational setting, arbitrate the plurality of potential operating configurations to determine a final set of operating configurations; and update operation of the radio based on the final set of operating configurations.

Techniques and apparatuses are described for multiple-input multiple-output transmissions using adaptive phase-changing devices. In aspects, a base station selects one or more adaptive phase-changing devices, APDs, to use in at least one communication path for multiple-input, multiple-output, MIMO, transmissions. The base station can perform a channel characterization process for the at least one communication path using the at least one APD and at least one UE. Based on results of the channel characterization process, the base station configures the at least one APD by which to implement single user-MIMO communication with a UE or multiple user-MIMO communication with multiple UEs. By so doing, the base station may implement MIMO transmissions using APDs to communicate with the at least one UE using same time and frequency resources, which can improve spectral efficiency of a wireless network.

The invention discloses an air federated learning realization method for collaborative optimization of client scheduling and model compression. The invention realizes the air federated learning realization method for collaborative optimization of client scheduling and model compression. Along with rapid development of federated learning in a wireless network, air computing based on a multiple-input-multiple-output technology is widely concerned due to high communication efficiency of the air computing. However, in a resource-limited large-scale device scene, channel interference, device heterogeneity and limited spectrum resources significantly restrict the convergence rate and model performance of federated learning. In order to deal with the challenges, the invention provides an air federated learning framework combining compressed sensing and client scheduling, and by collaborative design of model parameter compression, multi-antenna beam forming and dynamic equipment selection strategies, the total communication overhead of each round of training is minimized, and meanwhile, the convergence of a global model is guaranteed. In order to balance training cost and model quality, a joint optimization problem based on calculation-communication cost and model precision loss is provided. In order to solve the non-convex optimization problem, an original problem is decoupled into two sub-problems. Firstly, an optimization problem of a pre-coding and post-processing matrix is designed for a given user scheduling result to minimize a gradient aggregation error. Then, a novel user scheduling algorithm based on channels and data is provided to obtain an air aggregation result.

Disclosed are a power line communication method and apparatus, comprising: a first device generating a physical layer protocol data unit (PPDU) frame, the PPDU frame comprising a frame control field, a training symbol field, and a load symbol field, the load symbol field being used for modulating and transmitting a load symbol, the training symbol field being used for bearing a training symbol, and the load symbol field being used for receiving the training symbol; the training symbol field is used for channel estimation of multiple input multiple output (MIMO) and extended bandwidth, the frame control field comprises a variable region field, the variable region field comprises a frame identification field and a frequency band field, the frame identification field is used for indicating a frame type of a frame start (SOF) frame included in the PPDU frame, and the frequency band field is used for indicating an available frequency band of a training symbol and a load symbol; and the first device sends the PPDU frame to the second device. According to the embodiment of the invention, through the redefined PPDU frame, the power line communication supports the characteristics of MIMO, large bandwidth and the like, so that the overall network performance is improved.

The invention discloses a transmission path construction method, an interference analysis method and an interference elimination method based on unmanned aerial vehicle communication and sensing integration, and the method comprises the steps: 1, building an unmanned aerial vehicle communication and sensing integration scene and a multi-input multi-output communication channel model which is composed of two unmanned aerial vehicles, a base station, a plurality of users and a moving target; step 2, establishing a communication channel model among the unmanned aerial vehicle, the base station and respective user receiving ends; and step 3, establishing an unmanned aerial vehicle sensing channel model. Mathematical formulas of all communication signals and sensing signals in an unmanned aerial vehicle communication and sensing integrated scene are defined, the functions of the unmanned aerial vehicle, a base station and a user are defined, then transmission paths of the communication signals and the sensing signals are designed, finally different interferences are analyzed under the system and the paths, and two interference elimination methods are provided. And the interference between the users, the interference between the unmanned aerial vehicles and the interference between the users and the unmanned aerial vehicles are represented by heat maps, and an interference elimination method is selected according to different interference degrees of the heat maps.

A multiple input converter for outputting power from AC power or a battery to positive and negative direct current (DC) buses is provided. The multiple input converter includes at least one bridge arm unit and a bidirectional DC-DC conversion unit. The bridge arm unit corresponds to one phase of the alternating current (AC) power and includes an upper and lower bridge arms that can independently form a two-level converter. In a battery mode, the upper and lower bridge arms discharge power from the rechargeable battery to the positive and negative DC buses, and the bidirectional DC-DC conversion unit discharges power from the rechargeable battery to the positive and negative DC buses or balances voltages of the positive and negative DC buses. In a mains mode, the bridge arm units are connected to the AC power. The bidirectional DC-DC conversion unit determine whether to charge or discharge according to load conditions.

The present disclosure relates to an antenna filter unit (AFU) (280) communicatively coupled to a Radio Frequency (RF) Front End Module (RFEM) (250). The AFU (280) comprises a plurality of cavity filters and a Multiple-Input-Multiple-Output (MIMO) antenna unit to enable beam forming to multiple users.

The noise-shaping successive-approximation-register analog-to-digital converter includes a capacitive digital-to-analog-converter, a loop filter including a plurality of integration capacitors, and a multi-input comparator. During an integration phase, the capacitive digital-to-analog converter couples to the plurality of integration capacitors to develop an integration voltage. The integration capacitors are then arranged to passively apply a first gain to the integration voltage. The multi-input comparator also provides a second gain to the integration voltage.

Methods, systems, and devices for wireless communications are described. In some systems, a user equipment (UE) may transmit or receive a reference signal to or from a base station using a beam pair including a first beam associated with a first polarization and a second beam associated with a second polarization. The UE may select the first beam from a first set of beams associated with the first polarization and may independently select the second beam from a second set of beams associated with the second polarization. In some examples, the UE may select the first beam and the second beam based on the first beam and the second beam each having a greatest beam strength (at the UE or the base station) relative to a remainder of the first set of beams and the second set of beams, respectively.

A method for generating a résumé may receive at least an experience parameter and a job title parameter. Related job titles in a historical résumé dataset may be selected that are semantically related to the job title parameter by using a semantically similar job title selector. The historical résumé dataset may be filtered based on at least the experience parameter and the related job titles to obtain a filtered résumé dataset. A list of user skills may be obtained by selecting skills from the filtered résumé dataset. A list of curated skills may be obtained by selecting curated skills from a curated skills dataset based on at least the experience parameter and the one or more related job titles. A list of candidate skills may be obtained by mapping skills from the list of user skills to corresponding curated skills. Selected candidate skills may be incorporated into a résumé.

The invention discloses a seismic first arrival wave pickup method and device based on a multi-input attention mechanism network, multi-domain data and multiple network advantages are fused to realize first arrival automatic pickup, and compared with manual pickup, the efficiency is greatly improved, and the result is more objective; compared with a traditional automatic pickup method, the method is higher in precision and stability under different signal-to-noise ratios. Meanwhile, through hyper-parameter optimization, the generalization ability is high, reliable data can be provided for subsequent seismic processing, the advantages are outstanding under complex geological conditions, and the method is of great significance to geological analysis and resource exploration.

A method for transmission of DownLink, DL, radio signals in a Distributed Multiple Input Multiple Output, D-MIMO, system of a Radio Access Network, RAN. The D-MIMO system comprises a Central Unit, CU, with Digital Signal Processing, DSP, a first remote radio-head and a second remote radio-head, an analogue optical fronthaul link.The method comprises receiving (500a) a respective first and second UL transmission from the wireless communications device via the respective first and second remote radio-head over the analogue optical fronthaul link.The method further comprises estimating (501a) a respective first and second effective UL channel for signals from the wireless communications device via the first and second remote radio-head based on applying DSP to the respective first and second UL transmission.The method further comprises estimating (503) a respective first and second calibration channel based on applying DSP to a respective first and second reference radio signal transmitted wirelessly between the first remote radio-head and the second remote radio-head.The method further comprises synchronizing (505) a respective first and second DL radio signal from the respective first and second remote radio-head to the wireless communications device by compensating the second DL transmission based on the estimated second effective UL channel, and further based on the estimated first and second calibration channels.

The invention discloses a composite joint control method based on a frequency conversion air source heat pump system, and relates to the technical field of air source heat pump systems, and the method comprises the steps: building an HPF control framework, building a multi-input and single-output control model through machine learning, and coupling a PID feedback signal to generate a composite control basic signal; building load single-step forward prediction is carried out by adopting an LSTM neural network, and a building load prediction value is output through training and calculation of the neural network; the heat pump compressor is subjected to staged joint control; forward control is carried out on the load side circulating water pump; a differential switching mechanism is arranged, and water supply temperature deviation is monitored in real time. According to the variable-frequency air source heat pump composite joint control strategy, an HPF control framework, a compressor staged joint control and differential switching mechanism, load side water pump forward control and equipment cooperative linkage are integrated, model dynamic updating and switching parameter optimization are introduced, and the limitation of a traditional single control mode is broken through.

The invention discloses a space-air-ground integration-oriented full-decoupling network non-feedback transmission and resource dynamic allocation method. A solution is provided for space-air-ground multi-node cooperation resource management. The method comprises the steps that a channel state information prediction model based on deep learning replaces traditional feedback signals with user geographical location information, and multiple-input-multiple-output transmission is achieved; and a many-to-one matching model is designed and is used for realizing adaptive allocation of spectrum resource blocks among space-air-ground heterogeneous nodes, so that the matching stability is ensured, and the method has the characteristics of low complexity and rapid convergence. For cooperative transmission of multiple nodes and resource allocation among heterogeneous nodes, the spectrum efficiency of the system is improved through non-feedback channel state information prediction and a resource allocation mechanism. Compared with a single connection mode and polling-based resource scheduling in a traditional network, the flexible resource allocation algorithm disclosed by the invention remarkably improves the network capacity and improves the user communication quality.

The invention discloses an optimal beam forming design method under semantic communication service quality constraint, and belongs to the technical field of wireless communication. An optimal beam forming design method is provided for a multi-input single-output digital semantic communication system; an end-to-end semantic performance and compression ratio model is utilized to establish a relational expression of end-to-end semantic performance and a signal-to-noise ratio, and an optimal beam is constructed with the purposes of meeting semantic communication service quality and minimizing transmitting power; dual constraints of transmission time delay and semantic communication service quality are met, and meanwhile, an optimal beam is constructed by minimizing a semantic energy consumption target; through a Dinkelbach method and a matched filtering strategy, the optimal wave beam meeting the requirements of transmission delay and semantic communication service quality at the same time is designed under the target of minimum semantic energy consumption, and the robustness and the resource utilization rate of a semantic communication system under the conditions of high bandwidth, high reliability and limited resources can be remarkably improved.

The invention discloses a mode selection and transceiver design method of a non-orthogonal multiple access (NOMA) auxiliary sensing and communication integration (ISAC) in a network auxiliary full-duplex cellular-free large-scale multiple-input multiple-output (MIMO) system, and relates to a mode selection and transceiver design method of a non-orthogonal multiple access (NOMA) auxiliary sensing and communication integration (ISAC) system of a network auxiliary full-duplex cellular-free large-scale multiple-input multiple-output (MIMO) system, and the mode selection and transceiver design method of the non-orthogonal multiple access (NOMA) auxiliary sensing and communication integration (ISAC) system of the network auxiliary full-duplex cellular-free MIMO system of the network auxiliary full-duplex cellular-free MIMO system of the network auxiliary full-duplex cellular-free MIMO system of the network auxiliary full-duplex cellular-free MIMO system. Comprising the following steps of: converting a joint mode selection and transceiver design problem of NOMA-ISAC in a cellular-free large-scale MIMO system into an optimization problem of maximizing a signal-to-interference-noise ratio (SINR) of a radar, and decomposing the optimization problem into two sub-problems, and respectively adopting a simulated annealing algorithm and a continuous convex approximation algorithm to obtain the optimal working mode, precoding vector and uplink power. Simulation results show that the sensing performance of the system can be effectively improved under the condition that rate constraints of communication users are met.

Certain aspects of the present disclosure provide techniques for wireless communication by a user equipment (UE). For example, the UE may transmit, to a plurality of transmission and reception points (TRPs), a layer parameter based on a maximum number of multiple input multiple output (MIMO) uplink layers that are supported by the UE for uplink communication to the plurality of TRPs. The UE may receive, from at least one TRP of the plurality of TRPs, uplink scheduling information responsive to transmitting the layer parameter. The UE may further transmit, to each of the plurality of TRPs, a physical uplink shared channel (PUSCH) communication according to the uplink scheduling information.

Some demonstrative embodiments include apparatuses, systems and / or methods of communicating a Single-User (SU) Multiple-Input-Multiple-Output (MIMO) transmission. For example, a first wireless communication station may be configured to transmit a Request to Send (RTS) to a second wireless communication station via a plurality of SU MIMO Transmit (Tx) sectors of the first wireless communication station, the RTS to establish a Transmit Opportunity (TXOP) to transmit an SU-MIMO transmission to the second wireless communication station, a control trailer of the RTS including an indication of an intent to transmit the SU-MIMO transmission to the second wireless communication station; and to transmit the SU-MIMO transmission to the second wireless communication station, upon receipt of a Clear to Send (CTS) from the second wireless communication station indicating that the second wireless communication station is ready to receive the SU-MIMO transmission.

Designs and control techniques for passive Multiple-Input Multiple-Output (pMIMO) surfaces are provided. An example array of reconfigurable reflective elements includes a plurality of unit cells each comprising a cross-slot radiating element, a first varactor diode disposed across a first end of the cross-slot radiating element and configured to control polarization in a first plane, and a second varactor diode disposed across a second end of the cross-slot radiating element and configured to control polarization in a second plane, and a controller coupled to the first varactor diode and the second varactor diode and configured to provide control signals to the first varactor diode and the second varactor diode to vary a direction of a reflected signal.

A communication method and apparatus, the communication method comprising: a first network device sending first information to a second network device, the first information indicating an alternative frequency band and / or an alternative frequency band combination, the alternative frequency band and / or the alternative frequency band combination being used by a terminal device to report a limited capability; or the first network equipment sends second information to the second network equipment, the second information indicates one or more of the maximum MIMO layer number and the maximum carrier bandwidth corresponding to the limited capability, and the maximum MIMO layer number comprises one or more of the uplink maximum MIMO layer number and the downlink maximum MIMO layer number. According to the scheme of the invention, the network equipment can understand the specific content of the temporary capability of the terminal equipment, thereby correctly configuring or scheduling the terminal equipment with limited capability.

Systems, apparatus, processes, and computer-readable media for wireless communication are disclosed. For example, an example of a process may include receiving, at a network device (e.g., a user equipment (UE)), a waveform including a communication resource and a sensing resource from a network entity via a number of sensing flows based on a maximum of Nt-J sensing flows. The waveform has a rank Nt, and J is a number of layers scheduled for multiple-input multiple-output (MIMO) communication, the number being less than Nt. The process may further include processing at least the communication resource of the waveform.

The invention discloses a reconfigurable intelligent surface (RIS)-assisted multiple-input-multiple-output (MIMO) implicit channel estimation method based on a graph attention network, which is used for efficient downlink transmission in a multi-user scene. Firstly, a graph attention network is designed, user nodes and RIS nodes are modeled in a unified mode, received pilot signals serve as initial features, spatial feature expression is enhanced in combination with user three-dimensional position information, and therefore interference between users and a spatial correlation structure are accurately represented; secondly, end-to-end feature aggregation is achieved based on a message passing mechanism, a base station beam forming matrix and an RIS reflection coefficient are directly predicted under the condition that explicit channel estimation is not needed, and the total transmitting power constraint and the unit mode constraint are met through normalization processing so as to complete joint optimization; according to the method, the users and the speed of the system can be remarkably improved under limited pilot frequency overhead, and the method has excellent generalization performance and robustness in a multi-user complex propagation environment.

Various aspects of the present disclosure relate to orthogonal time domain reference signal transmission. A user equipment (UE) may receive signaling configuring a set of parameters corresponding to one or more orthogonal time domain reference signals (e.g., unique words (UWs) in a time domain). The UE supports multiple input multiple output (MIMO) transmission and reception using an orthogonal frequency division multiplexing (OFDM) waveform. The UE transmits or receives symbols in a time domain including the one or more orthogonal time domain reference signals based on the set of parameters and the OFDM waveform.