468 results about "Multi input" patented technology

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 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 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 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.

A system and method for enabling downlink signal transmission in a Multiple-Input Multiple-Output (MU-MIMO) system is provided. The method comprises of creating a scheduling information based on MU-MIMO Scheduling of a plurality of User equipments (UES), multiplexing the plurality of UES paired based on the scheduling decisions across time, frequency and code, inputting transport blocks of each UE pushed on to a Downlink shared channel (DLSCH), performing bit processing of each of the CRC encoded UEs, inputting Code-rate (MCS) for data modulation mapping on a post bit processed data, assigning DM-RS ports to the UE based on allocated MCS and number of antenna ports from a scheduling information structure, adding, a Partial Port Occupancy information (P-Poi) for each UE along with the scheduler information structure required for demodulation at UE and enabling optimal channel estimation at UE by adding new DM-RS port combinations using reserved fields in the DCI messaging.

The subject technology receives a set of inputs from multiple input sources. The subject technology determines a set of input features based on the set of inputs from the multiple input sources. The subject technology performs a time window-based aggregation on the set of input features to generate a set of aggregated features. The subject technology performs feature extraction, using a set of modular components of a modular classifier network, on the set of aggregated features to generate a set of extracted features. The subject technology generates, using a pinch detection head, a probability score indicating the likelihood of an occurrence of a pinch gesture based on the set of extracted features. The subject technology determines, using triggering logic, whether a pinch gesture has occurred based at least in part on the probability score. The subject technology provides a pinch detection output based at least in part on the determining.

A method performed by a user equipment (UE) for dynamically allocating data transmission resources in a massive multiple input multiple output (MEMO) system is disclosed. The UE receives from a network node at least one initial channel state information reference signal (CSI-RS) resource set comprising at least an initial number of ports. A sounding reference signal (SRS) is transmitted to the network node. The network node transmits to the UE a dynamically allocated number of CSI-RS ports, or alternatively, a trigger state for a predefined CSI-RS resource set and a beamformed CSI-RS. The UE computes one or more parameters corresponding to channel state information (CSI) from the beamformed CSI-RS. A CSI report comprising the one or more parameters is transmitted to the network node. The UE then receives user data over a data traffic channel using the dynamically allocated number of CSI-RS ports, or alternatively the pre-defined CSI-RS resource set.

The invention provides a multiple-input-multiple-output soft measurement method and device and a medium. The method comprises the steps that historical multi-sampling-rate process variable data and historical multi-quality variable data are acquired; obtaining a plurality of historical task specific features from the historical multi-sampling-rate process variable data; inputting the plurality of historical task specific features to obtain historical cross-task sharing interaction features; training according to the historical cross-task sharing interaction features, the plurality of historical task specific features and historical multi-quality variable data to obtain a trained feature interaction hybrid expert network model; and obtaining a plurality of online prediction results according to the trained feature interaction hybrid expert network model. According to the method, the device and the medium, the problems that information loss, time alignment errors and task negative migration are easily caused when different variable sampling frequencies are inconsistent in an existing multi-input multi-output soft measurement method, an irregular sampling phenomenon exists, and the prediction precision of multiple quality indexes is not high can be solved.

Aspects of the subject disclosure may include, for example, polarization adaptation in panel MIMO antennas to improve isolation between downlink beams so as to reduce or minimize beam interference, which improves antenna performance and / or reduces antenna size requirements. Other embodiments are disclosed.

A method for determining an uplink multiple input multiple output (MIMO) transmission codeword, includes: determining at least one of a candidate codeword of 4 transmit antenna ports (Tx) for uplink MIMO transmission or a candidate codeword of 2 Tx for uplink MIMO transmission; dividing 8 Tx into K antenna port groups, wherein K is a positive integer less than 8; determining a third codeword from the candidate codeword, and determining a fourth codeword corresponding to the third codeword; and obtaining a first codeword for the antenna partial coherence transmission of 8 Tx L-layer for the uplink MIMO transmission by splicing, based on the antenna port groups and a co-phasing coefficient, the third codeword and the fourth codeword, wherein L is less than or equal to 8.

A system can facilitate broadband cellular communications with user equipment via a group of antennas of the system, wherein the group of antennas comprises multiple-input multiple-output antennas. The system can determine channel state information of user equipment for which broadband cellular communications are enabled via the group of antennas. The system can purpose an antenna element of the group of antennas for energy harvesting based on the channel state information failing to satisfy an information exchange criterion. The system can harvest, via the antenna element, non-contributory interference plus noise signals as electrical energy. The system can direct the electrical energy to a processing circuit involved in an information transmission task.

Aspects of the present disclosure relate to wireless communications, and more particularly, to techniques for multiple-input multiple-output (MIMO) communications One aspect provides a method for wireless communication. The method includes receiving a signal using a multiple-input multiple-output (MIMO) receiver, wherein the signal includes at least a first code block (CB) including a first part received via a first layer of the MIMO receiver and a second part received via a second layer of the MIMO receiver, wherein the second part of the first CB is shifted within a spectrum by at least two resource positions with respect to the first part of the first CB; performing interference cancellation for the first CB; and decoding the first CB after performing the interference cancellation.

Systems, methods, apparatuses, and computer program products for enabling efficient cell-free MIMO transmissions. One method may include receiving a downlink reference signal, determining at least one cell-free multiple input multiple output transmission strategy associated with at least one access point based upon at least the downlink reference signal, and transmitting to a network entity at least one of the at least one cell-free multiple input multiple output transmission strategy and enabling information.

The invention relates to the technical field of hydrogen energy storage, in particular to an underground hydrogen storage system, which is characterized in that a hydrogen storage sensing module and a processing module are integrated in the system, a multi-input multi-output monitoring channel is constructed by using array type electrode nodes, and the processing module constructs a dual-drive prediction model through superposition of a physical state space and a neural network to obtain reference hybrid prediction output; generating a virtual sample set by using random sampling to construct a dynamic random tolerance envelope band; and finally, leakage is judged according to the permeability of the envelope band according to the actually measured signal. According to the invention, the problem of high false alarm rate of the system due to the fact that in-pipe nonlinear background triboelectric charge noise covers tiny leakage characteristics under a fluctuating power supply charging working condition is effectively solved; millisecond-level self-adaptive accurate diagnosis of the air tightness of the pipeline in a complex dynamic environment is realized, and the detection capability of weak leakage signals is remarkably improved while electromagnetic interference is filtered out.

According to various embodiments, an electronic device may include multiple antennas, at least one antenna tuning circuit connected to at least one antenna among the multiple antennas, and at least one communication processor, wherein the at least one communication processor receives, through a first antenna among the multiple antennas, a signal transmitted from a base station based on multiple-input and multiple-output (MIMO), receives, through a second antenna among the multiple antennas, a signal transmitted from the base station based on the MIMO, and when a strength of a first signal received through the first antenna or a strength of a second signal received through the second antenna is equal to or greater than a first threshold value, determines whether an imbalance condition of the first signal and the second signal is satisfied, and adjusts, when the imbalance condition is satisfied, a setting value of the at least one antenna tuning circuit so as to reduce a difference between the strength of the first signal and the strength of the second signal. Various other embodiments are possible.

An example apparatus for decoding media data includes: a memory configured to store video data; and a processing system comprising one or more processors implemented in a circuit, the processing system configured to instantiate a first number of video decoder instances to be executed by the processing system; determining an attribute of the plurality of video media streams, the attribute indicating that each of the plurality of video media streams is available for stream selection; selecting the second number of input video media streams from the plurality of video media streams according to the determined attributes of the second number of input video media streams; executing the video decoder instance to decode the second number of input video media streams to form a second number of decoded video media streams; and outputting data of the second number of decoded video media streams.

Circuits and methods include amplification circuitry coupled to a plurality of input signal paths and an output signal path and a unified signal path combining a feedback path couplable between a feedback node in the output signal path and the input signal path via a plurality of input switches and a passive gain path couplable between the feedback node in the output signal path and one or more input signal paths through the input switch. The circuit may include a first capacitor and a variable resistor coupled in series and a second capacitor coupled in series with a feedback path switch and a power supply rejection resistor. The passive gain path may further include a shunt switch coupled in series between a plurality of bypass switches to form a T-switch. A fast charging switch may be configurable to couple a second capacitor to a reference potential during a state change of the unified signal path.

Techniques and apparatus for radio frequency (RF) exposure compliance for multiple-input, multiple-output (MIMO) transmissions are described. An example method that may be performed by a wireless device includes determining a respective multiple-input, multiple-output (MIMO) transmit power limit for each of a plurality of antennas of the wireless device. A signal associated with a MIMO transmission is transmitted from each antenna at a respective first transmission power level based on the respective MIMO transmit power limit for the antenna in compliance with a radio frequency (RF) exposure limit. The first transmission power level used for a first antenna of the plurality of antennas is different from the first transmission power level used for a second antenna of the plurality of antennas.

Examples pertaining to repeater gain control for device collaboration in distributed MIMO systems are described. An apparatus (e.g., a repeater) may determine a first compensation value for a first path loss on a first link between the apparatus and a UE, and determine a second compensation value for a second path loss on a second link between the apparatus and a network node of a wireless network. The apparatus may also determine a repeater gain for uplink power control according to the first compensation value and the second compensation value. The apparatus may further forward a radio signal from the UE to the network node according to the repeater gain.

The invention discloses a multi-input multi-output fuzzy neural network control method and system for a pseudo-ginseng planting greenhouse, and the method comprises the steps: obtaining original parameters including greenhouse temperature, humidity, illumination, water and fertilizer concentration, pseudo-ginseng growth state and water flow velocity, and carrying out the standardization of the original parameters, and obtaining input parameters; inputting the parameter into a three-layer back propagation neural network pre-training model, and outputting initial adjustment coefficients of six control quantities such as the opening degree of the sunshade; constructing a fuzzy rule base based on a parameter coupling scene, inputting a preliminary adjustment coefficient to obtain a fuzzy output quantity, and performing defuzzification through a gravity center method to obtain a corrected adjustment coefficient; a control instruction is calculated in combination with an equipment rated range, and closed-loop control is realized through dynamic adjustment. The system automatically operates through a multi-parameter acquisition module, an equipment control output module and the like. The application breaks through the traditional single-input single-output limitation, reduces the parameter fluctuation by more than 50%, adapts to the whole growth cycle of pseudo-ginseng, improves the utilization rate and yield of water and fertilizer, reduces the labor cost, and has remarkable economic benefits.

The present invention discloses a communication system including WLAN communication systems comprising transmitter including an OTFS grid based Orthogonal Time Frequency Space (OTFS) waveform generator and Multiple Input Multiple Output (MIMO) streams. The transmitter comprises signal processor including OTFS modulator having FEC (forward error correction) encoder for pre-FEC bit appended input data stream and transmission of encoded input data stream in a selective sequence vide OTFS waveform modulated OTFS grid-partially loaded with QAM / PSK symbols of said encoded input data stream through MIMO transmitter and receiver streams including MIMO pre-coder based multi antenna support for said transmission and reception of said OTFS waveform thereby enabling OTFS waveform transmission and retrieval of input data stream.

The present invention belongs to the technical field of flutter tests for rotorcrafts, and discloses a ground whirl flutter test system and test method for a rotorcraft. The ground whirl flutter test system for the rotorcraft comprises a hardware part and a software part. The hardware part comprises a rotor test article, a support system, force loading devices, vibration signal sensors, load cells, vibration signal acquisition cards, an industrial control computer, force signal output cards, a power amplifier and load cell signal acquisition cards. The software part of the ground whirl flutter test system for the rotorcraft comprises a rotor force and moment calculation program and a multi-input multi-output force control program running on the industrial control computer. The method can reserve all dynamic characteristics of the aircraft structure, is not restricted by the size of a wind tunnel test chamber section, does not require dynamic scaling of aircraft structures.

Provided are an iterative detection and decoding (IDD) circuit, which includes a multiple-input and multiple-output (MIMO) detector having low power consumption, an operation method of the IDD circuit, and a modem chip. The IDD circuit, which is configured to receive a signal including a symbol, includes a first detector configured to generate a first log-likelihood ratio based on the symbol by using a linear detection method, a decoding circuit configured to perform a first decoding operation based on the first log-likelihood ratio and to generate a post-log-likelihood ratio when the first decoding operation fails, and a second detector configured to, when the first decoding operation fails, generate a second log-likelihood ratio based on the symbol and the post-log-likelihood ratio by using a nonlinear detection method, wherein the decoding circuit is further configured to perform a second decoding operation based on the second log-likelihood ratio.

The present disclosure relates to a machine learning (ML)-based receiver that is computationally efficient, irrespective of a number NR of receiver antennas used in a Multiple Input Multiple Output (MIMO) scenario. To achieve this, the ML-based receiver is configured to obtain a modified matrix and a modified array of symbols based on a channel state information (CSI) matrix and a received array of symbols. The modified matrix has a dimension NT×NT, where NT is a number of MIMO layers. The modified array of symbols has a dimension NT. After that the ML-based receiver is configured to restore a transmitted array of symbols from the received array of symbols by applying a pre-trained ML model that receives the modified matrix and the modified array of symbols as input data and outputs a set of bit log-likelihood ratio (LLR) estimates for the transmitted array of symbols.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive, via time-frequency resources using multiple spatial layers, a plurality of code block parts associated with a codeword, where code block parts corresponding to the same code blocks are each offset in different time-frequency resources, where one or more first code block parts are initializing code block parts associated with first decoding characteristics that are different than second decoding characteristics with which one or more second code block parts are associated. The UE may decode, based on the first decoding characteristics and the second decoding characteristics, the one or more first code block parts and the one or more second code block parts.

The invention provides a multi-input and multi-output frequency coupling admittance modeling method for a follow-up network fan, and belongs to the technical field of large-scale follow-up network type and follow-up network type fan frequency coupling admittance modeling. The technical problem that a network following type GFL and network constructing type GFM doubly-fed fan series-parallel system in a wind power plant lacks an accurate small-signal modeling and analysis method is solved. According to the technical scheme, the method comprises the following steps: S1, establishing an open-loop doubly-fed motor self admittance considering stator and rotor flux linkage dynamics; s2, obtaining frequency domain multiple-input multiple-output admittances of the following network type doubly-fed fan and the constructed network type doubly-fed fan; s3, obtaining a unified multiple-input multiple-output admittance frequency domain model containing a closed loop interconnection system formed by the following network type doubly-fed fan admittance YGFL and the construction network type doubly-fed fan admittance YGFM; and S4, quantitatively evaluating a phase-locked loop parameter and a virtual synchronous control parameter. According to the invention, accurate determination of frequency coupling oscillation is realized.

The invention discloses a PID (Proportion Integration Differentiation) tracking control method based on error perception nonlinear gain, which is used for high-precision tracking control of an MIMO (Multiple Input Multiple Output) nonlinear system. Comprising the following steps: 1) constructing an adaptive gain by using current error information, historical error information and prediction error information; 2) realizing intrinsic integral saturation resistance through nonlinear integral design; and 3) complete autonomous operation can be realized without accurate system dynamics priori knowledge or manual adjustment. According to the method, the nonlinear compensation capability and the robust adaptive performance are enhanced while the structural simplicity of the PID controller is kept. Through rigorous Lyapunov analysis, the stability of the method to a non-linear system in a general form is verified, and the method shows excellent performance in both adjustment and time-varying reference tracking scenes. The method can be widely applied to the fields of linear motor servo systems, sea surface ship control, unmanned vehicle dynamics control and the like needing high-precision tracking control.

In some implementations, a control device may transmit, to a set of radio units (RUs), an indication of orthogonal codes for respective RUs from the set of RUs, wherein the set of RUs are non-collocated. The control device may transmit, to one or more user equipment (UEs), an indication of the orthogonal codes for the respective RUs from the set of RUs. The control device may transmit, to the set of RUs, control information to cause the set of RUs to transmit orthogonal transmissions, using the orthogonal codes, to at least one UE from the one or more UEs.

The invention discloses a novel information system reliability determination method for a multi-input dependent starting scene, and belongs to the technical field of system reliability. Comprising the following steps: drawing a system structure chart containing a multi-input dependency starting module, and dividing a three-stage system structure of a core module-a support signal module-an auxiliary guarantee module; a GO graph is drawn, the multi-input dependent starting module is uniquely identified as a type 29 operator, and the number of input ports of the operator is in one-to-one correspondence with the number of support signals of the corresponding core module; and determining the signal effective probability, the correlation coefficient and the element reliability according to a standardized process, calculating the module reliability by combining a type 29 operator quantitative model, and finally determining the system reliability. According to the method, the problem that an existing GO method operator cannot adapt to a multi-input dependent starting scene is solved, the blank of a special tool for GO method modeling in the scene is filled up, and the application range of the GO method in a novel information system is expanded.

The application discloses a video time variable sampling method and device based on a reversible network and a medium, belongs to the technical field of video coding, and solves the problem of serious loss of information in the down-sampling and coding stages during video time variable sampling coding; the reversible time domain wavelet transform structure of multiple input and multiple output is adopted, input high frame rate video is decomposed into odd and even sequence frames, a bidirectional reference frame mechanism is introduced, a time domain low frequency subband and a high frequency subband are generated, high-quality video time frequency band decomposition can be realized without transmitting explicit motion information between forward transformation and inverse transformation, a gradient agent network simulating the compression behavior of a traditional encoder is introduced, motion vectors and quantization parameters are taken as input, a reversible affine coupling transform model encoder perceiving coding quality is adopted to code the distortion of the time domain low frequency, and the defects that the existing agent network depends on motion vector transmission or fixed coding parameters and is difficult to adapt to actual variable application scenarios can be overcome.