516 results about "Multi output" patented technology

Described are concepts, systems, system architectures, circuits, methods, and techniques directed toward power management and control. In particular, described are concepts, systems, system architectures, circuits, methods, and techniques for implementing power converters that may not have a right-hand pole zero in their linearized, averaged control-to-output transfer function, but that may still have buck and boost functionality.

A power-over-Ethernet (PoE) PD / PSE device comprises a powered device (PD) interface configured to connect to an upstream power sourcing equipment (PSE) and receive input PoE power from the PSE, and a PSE interface configured to connect to a downstream PD and to supply output PoE power to the PD. The PD / PSE also comprises a device power rail to supply operational power to one or more components of the PD / PSE, and a DC-DC converter comprising a multi-output transformer comprising a transformer input, a first transformer output electrically connected to the PSE interface, and a second transformer output electrically connected to the device power rail. The DC-DC converter is configured to receive the input PoE power and, in response, supply the input PoE power to the transformer input, generate the output PoE power at the first transformer output, and generate the operational power at the second transformer output.

The invention discloses a low-power-consumption multiple-input-multiple-output thermo-optical switch chip which comprises N optical input ports, an N * N optical beam splitter, N spiral waveguide thermo-optical phase shifters, an N * N optical beam combiner and N optical output ports. The N * N light beam splitter and the N * N light beam combiner adopt the same design structure and comprise N single-mode input / output waveguides, N width gradient waveguide transition areas (taper areas) and a multi-mode waveguide area, and each single-mode input and output waveguide is connected to the multi-mode waveguide area through the width gradient waveguide transition area. The spiral waveguide thermo-optic phase shifter comprises two spiral waveguides with different sizes, an S bend with a gradually-changed width and a circular heating electrode. The transmission path of light in the chip can be changed by adjusting the spiral waveguide thermo-optical phase shifter, and the function of optical switch switching is achieved. The invention has the advantages of high integration level, high expandability and low power consumption, and can be used in the field of integrated photon chips.

A DC-DC conversion apparatus for a charging pile includes a group of power terminals, a plurality of groups of load terminals, and a plurality of isolated DC-DC conversion circuits. An input end of each isolated DC-DC conversion circuit is connected to the group of power terminals, and output ends of the plurality of isolated DC-DC conversion circuits are connected to the plurality of groups of load terminals in a one-to-one correspondence, so that the DC-DC conversion apparatus for a charging pile forms an architecture with a single input and a plurality of independent outputs. In this way, the DC-DC for a charging pile can have high power utilization while implementing wide-range power outputs.

Apparatuses, systems, and techniques to detect uplink data in a multi-user multiple input multiple output wireless communication system. In at least one embodiment, uplink data is detected using one or more graphics processing units to perform parallel computations in order to form a consensus belief about information received by one or more base stations in a wireless network.

Technologies for providing energy efficiency technology in extreme mMIMO systems in a cellular network cellular network (e.g., 5G wireless network, 6G wireless network) are described. The method collects data representing conditions for potential energy saving (ES) modes, comprising morphology data and traffic pattern data. The method determines, using the collected data, one or more energy saving (ES) modes for one or more components of a cellular network in at least one of a time (T) domain, a frequency (F) domain, or a space (S) domain, wherein the one or more ES modes cause at least one adjustment to the one or more components in the at least one of the time (T) domain, the frequency (F) domain, or the space (S) domain.

The invention discloses a multi-output switching power supply and a control method thereof, the multi-output switching power supply comprises a power conversion circuit and a plurality of output control switch tubes, the plurality of output control switch tubes are connected to the output end of the power conversion circuit, the power conversion circuit converts an input voltage into a first output voltage, and the first output voltage is connected to the output end of the power conversion circuit. A plurality of output control switch tubes adjust the first output voltage into a plurality of voltage outputs; and controlling the switching state of a main switching tube in the power conversion circuit according to the output feedback signal of one path of the multiplexed output as a first feedback signal, and controlling the switching states of a plurality of output control switching tubes according to the output feedback signals of other paths of the multiplexed output. According to the multi-output control scheme, a two-stage power conversion circuit is not needed, the cost is low, the control is simple, and the system efficiency is greatly improved.

The invention belongs to the technical field of power electronics, and discloses a high-performance multi-output driving power supply and a low-coupling capacitance multi-channel transformer, the low-coupling capacitance multi-channel transformer comprises a pair of magnetic cores, a group of primary windings and N groups of secondary windings, and N is greater than 2; wherein one magnetic core comprises a primary side magnetic column and N secondary side magnetic columns, and the N secondary side magnetic columns evenly surround the circumference with the primary side magnetic column as the circle center; the primary winding is wound on the primary magnetic column, and the N groups of secondary windings are respectively wound on the corresponding secondary magnetic columns; therefore, the coupling capacitance of the primary side and the secondary side is effectively reduced so as to limit the common-mode current excited by the high-speed action of the switching device; based on the multi-output transformer, the invention also provides a high-performance multi-output driving power supply, and a post-stage voltage regulating circuit is configured in the driving power supply, so that the cross regulation rate of multi-output is effectively reduced, and the working consistency and stability of a switching device in a power module are ensured.

Method and apparatus for supporting simultaneous MultiUser (MU) Multiple-Input Multiple-Output (MIMO) operations utilizing Orthogonal Frequency Division Multiple Access (OFDMA) with Uplink OFDMA Random Access (UORA). Access Points (APs) trigger and obtain short PPDUs from the stations to learn spatial filtering patterns that are utilized in adjusting antenna phase differences to obtain minimum / maximum energy from this BSR. The APs determine favored and unfavored directions of communication, which are conveyed to non-AP UORA stations as channel estimation signals. The UORA stations base broadcasting on strengths of channel estimation signals to determine eligible UORA resource units. The UORA procedure to secondary APs allows a primary AP to trigger a UL-MU MIMO transmission with the number of spatial streams exceeding the number of antennas at the primary AP.

An apparatus and a method to apply 5G communication systems to IoT networks is provided. The apparatus includes technologies, such as a sensor network, machine type communication (MTC), and machine-to-machine (M2M) communication may be implemented by beamforming, multiple-input multiple-output (MIMO), and array antennas. Application of a cloud radio access network (RAN) as the above-described big data processing technology may also be considered to be as an example of convergence between the 5G technology and the IoT technology. The disclosure relates to a method and an apparatus for controlling network access in a next generation mobile communication system.

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.

For example, an apparatus may include a baseband controller configured to control a plurality of dual-polarization Radio Heads (RHs) to communicate a Multiple-Input-Multiple-Output (MIMO) transmission, the baseband controller configured to control a first dual-polarization RH of the plurality of dual-polarization RHs to communicate a first spatial stream of the MIMO transmission with a horizontal-polarization via one or more first dual-polarization antenna elements of the first dual-polarization RH, and to control a second dual-polarization RH of the plurality of dual-polarization RHs to communicate a second spatial stream of the MIMO transmission with a vertical-polarization via one or more second dual-polarization antenna elements of the second dual-polarization RH.

The invention relates to the technical field of radars, and provides a frequency diversity array multi-input multi-output radar target detection system. The system comprises a detection statistic construction module, a detection optimization module, a detection threshold determination module and a target judgment module. Wherein the detection statistic construction module is used for constructing a detection statistic; according to the detection statistics, constructing a semi-definite programming optimization model; the detection optimization module is used for constructing a semi-definite programming optimization model according to the detection statistics; the detection optimization module is also used for solving the optimization model to obtain an optimal value of the detection statistics; and the target judgment module is used for comparing the detection statistic optimal value with a detection threshold so as to detect whether a target exists or not, so that the target detection probability and the anti-interference capability of the frequency diversity array multi-input multi-output radar in a complex environment are improved.

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.

The invention discloses a random pre-coding multiple-input multiple-output orthogonal frequency division multiplexing wireless communication method and system, a transmitting end enables each symbol to fully utilize all sub-channels through random unitary transformation and random compression transformation, and at a receiving end, by means of a block diagonal channel matrix of MIMO-OFDM on a frequency domain, all sub-channels of the MIMO-OFDM are fully utilized, so that the random pre-coding multiple-input multiple-output orthogonal frequency division multiplexing wireless communication is realized. A cross-domain orthogonal approximate information transfer (CD-OAMP) detector is designed, which can perform signal detection with extremely low complexity, and can be optimal for replica maximum posteriori (MAP). The RP-MIMO-OFDM performance of the CD-OAMP detector exceeds the performance of MIMO-OFDM, the performance of MIMO-OTFS and the performance of MIMO-AFDM, the performance of RP-MIMO-OFDM is close to the performance of MIMO-IFDM, and the complexity is lower.

A network entity can be in a communications network that includes a plurality of network nodes communicatively coupled to the network entity via a cascaded topology. The network entity can transmit scheduling information to a first network node of the plurality of network nodes. The network entity can further receive an indication of an intermediate beamforming weight from the first network node. The network entity can further determine a part of a frequency-domain beamforming weight based on the indication of the intermediate beamforming weight. The network entity can further transmit an indication of the part of the frequency-domain beamforming weight to the first network node. The network entity can further communicate data with the communication device via the first network node.

A method for performing multiple-input and multiple-output channel estimation includes: generating, using a first machine-learning model, an initial set of estimated channel information from a first input set of channel information, wherein the first input set of channel information corresponds to a first plurality of radio-frequency chains, and wherein the estimated set of channel information corresponds to the first plurality of radio-frequency chains and a second plurality of radio-frequency chains; generating, using a second machine-learning model, a set of estimated channel phases from the initial set of estimated channel information and a second input set of channel information, wherein the second set of input channel information corresponds to the second plurality of radio-frequency chains; and combining the initial set of estimated channel information and the set of estimated channel phases to generate an enhanced set of estimated channel information.

Methods, systems, and devices for wireless communications are described. A network entity may obtain a single user, multi-input multi-output (SU-MIMO) channel between the network entity and a user equipment (UE), which may correspond to multiple SU-MIMO layers. The network entity may generate a transformed channel based on a selection of the multiple SU-MIMO layers. The selection may be based on a singular value decomposition (SVD) of the SU-MIMO channel, or a set of receive antennas at the UE, or a combination thereof. The network entity may generate an intermediate beamformer based on the transformed channel and may generate a per antenna full transmit power beamformer based on the intermediate beamformer. The network entity may output a beamformed signal to the UE, and a respective beamforming weight for each SU-MIMO layer of the multiple SU-MIMO layers may be based on the per antenna full transmit power beamformer.

An embodiment provides for a base station (BS) in a wireless network, the BS including memory and a processor coupled to the memory. The processor can cause the BS to determine a first gain region of a first beam index associated with serving a first user equipment (UE) and determine a first interference region of the first beam index associated with serving a second user equipment (UE). The processor can further calculate a beamforming weight of the first beam index using an analog null algorithm wherein the first gain region and the first interference region are inputs to the analog null algorithm to optimize for a threshold criterion. The processor can also transmit a first beam having the beamforming weight of the first beam index as part of a multi-user multiple-input multiple-output (MU-MIMO) operation.

A high gain multiple input, multiple output antenna which has a feeding board; a ground plane; a low band patch radiator; a first printed circuit board; a second printed circuit board; and a high band dipole patch radiator. The high band dipole patch radiator is a co-located stacked array on top of the low band patch radiator. The high band dipole patch radiator and the low band patch radiator are proximity coupled with the first printed circuit board and the second printed circuit board. The low band patch radiator covers low band frequencies in the range of 2.4 GHz to 2.5 GHZ and the high band dipole patch radiator cover high band frequencies in the range of 4.9 GHZ to 7.125 GHz. The antenna assembly has a gain of above 7.5 dBi and a well-directed radiation patten with no side lobes.

An apparatus may include a processor configured to: determine a class for a condition number of a channel matrix from a plurality of classes; wherein the channel matrix is representative of a communication channel; determine an off-diagonal dominance of a gram matrix or a spatial covariance matrix associated with the communication channel; and select a multiple input multiple output (MIMO) detection method from a plurality of MIMO detection methods based on the determined class and an off-diagonal dominance.

A method and system are disclosed for optimizing downlink multi-user multiple-input multiple-output (MU-MIMO) transmission in time division duplex (TDD) wireless communication systems. Sounding reference signals (SRS) from user equipment (UEs) are processed using a machine-learned model to extract physical-layer channel characteristics, including Doppler spread, delay profile, and signal-to-noise ratio (SNR). Based on these features, a channel state information (CSI) acquisition operation is adaptively selected for each UE—either channel estimation (CE) alone or both CE and channel prediction (CP). When CP is used, prior channel estimates are analyzed to generate predicted CSI over a future interval. The obtained CSI is then used to configure MU-MIMO transmission parameters such as beamforming weights, modulation and coding schemes (MCS), and UE grouping. This adaptive framework improves performance in time-varying and high-mobility environments by ensuring timely and reliable CSI is used for downstream transmission decisions.

A TDM MIMO FMCW radar comprises at least one row of physical receivers with a first spacing (dr) in a first direction, and further comprises a plurality of physical transmitters arranged with a second spacing (dt) in said first direction. To determine whether a peak in an angle spectrum corresponds to a direct reflection or a first-order multipath artefact, an inverse phase-shift vector corresponding to a phase ({circumflex over (ϕ)}1) of the peak is applied and a constant signal with the amplitude of the peak is subtracted. To the thus obtained intermediate signal (v), a further inverse phase-shift vector—now corresponding to an offset phase (Δ{circumflex over (ϕ)}) of the two leading peaks of the angle spectrum—after which a constant signal is subtracted. It is then detected whether the thus obtained test signal (w) has any non-noise content. If yes, the peak corresponds to a multipath artefact, and otherwise to a direct reflection.

The invention relates to a micro-grid energy storage multi-agent distributed secondary control method based on MFAPC, and the method comprises the following steps: 1, obtaining a dynamic estimation value of a global state through a multi-agent consistency protocol based on a communication structure of a sparse communication network; step 2, adopting an adaptive power balance algorithm to realize SoC balance of the distributed ESS with different capacities; and step 3, accurately tracking expected voltage and power of the system by adopting non-linear single-input multi-output ESS model-free adaptive prediction control based on tight-format dynamic linearization, realizing stable operation of the microgrid and SoC balance of the ESS under the condition of not depending on microgrid topology, line resistance impedance and load requirements, and improving robustness of the system. 4, through analysis, the stability of system output tracking errors and global bounded input and bounded output of the controller is guaranteed; the method has the advantages that a model-free adaptive prediction control method is adopted, the prediction order is large, the accuracy is high, and the robustness is high.

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.

The invention provides a multi-energy harvesting and multi-output management converter, and relates to the field of integrated circuits. An energy collection control circuit of a multi-energy collection and multi-output management converter is composed of a plurality of circuits. The input end maximum power tracking circuit is used for collecting input voltage and energy storage capacitor voltage and generating a first control signal. And the output end energy demand monitoring circuit is used for collecting the load voltage to obtain a second control signal. And the mode selection circuit is used for generating an enable signal according to the first control signal and the second control signal. And the on-time self-adjusting circuit is used for generating a third control signal according to the energy input voltage and the enable signal so as to control the on-time. And the adaptive zero current detection circuit is used for acquiring a fourth control signal of zero current conversion time based on the energy input voltage and the enable signal. And the grid control and drive circuit is used for outputting a fifth control signal according to the third control signal and the fourth control signal, and the converter can improve the energy collection and conversion efficiency.

A multiple-input and multiple-output (MIMO) radar system, including a horizontal antenna array having horizontal elements to detect an azimuth angle estimation, the horizontal elements being arranged in a sparse and non-sparse distribution, a vertical antenna array having vertical elements to detect an elevation angle estimation, the vertical elements being arranged in a sparse and non-sparse distribution, and a two-dimensional antenna array including a portion of the horizontal antenna array and a portion of the vertical antenna array. The system is configured to estimate, using the horizontal antenna array, an azimuth angle, to estimate, using the vertical antenna array, an elevation angle, to identify, based on the azimuth angle and the elevation angle, one or more ambiguities, and to analyze, using a portion of the two-dimensional antenna array, the one or more ambiguities to determine a more accurate azimuth angle and elevation angle.

The invention relates to the technical field of automatic control, in particular to a high-order iterative learning control method for a nonlinear non-repetitive system, which comprises the following steps of: 1, establishing a system model: aiming at the first iteration, establishing a discrete time multiple-input multiple-output system model with multi-source non-repetitive uncertainty; 2, defining and correcting a tracking error: introducing a random variable obeying Bernoulli distribution, and correcting the tracking error to process a track length of iterative change; 3, designing a high-order iterative learning control law: updating a current control signal by adopting control input and correction tracking errors based on a plurality of previous iteration periods; and 4, applying the high-order iterative learning control law to the controlled system, and updating the control input of the next iteration by using the corrected tracking error obtained by each iteration, so that the control output of the system tracks an expected trajectory under the meaning of mathematical expectation, and the expected value of the tracking error is finally converged to a bounded region.

The invention discloses an image rain removal model, method and system, electronic equipment and a storage medium, and the image rain removal model employs a multi-output multi-scale architecture and has a plurality of scale branches operated under a plurality of resolutions; the encoder of each scale branch comprises a convolution layer which is used for receiving and extracting potential features of a to-be-processed rain image and obtaining a shallow feature map; the frequency feature enhancement unit is used for capturing multi-frequency information, acquiring context semantic information and acquiring a processing feature map; the multi-scale compensation Transform block is used for extracting global information and local detail features in each scale branch to obtain a deep feature map; a gating fusion module is arranged at the tail end of the encoder and is used for fusing depth features of all scale branches to obtain an enhanced feature map; a residual convolutional layer for outputting a residual image is arranged at the tail end of the decoder of each scale branch; the residual image is used for subtracting the received to-be-processed rain image to obtain a rain-removed image.

Various aspects of the present disclosure provide systems and methods for supporting multi-layer data transmissions, aimed at enabling multiple input multiple output (MIMO) transmissions or multi-layer transmissions at an earlier point in time, for example, immediately after or during an initial access procedure. An apparatus (e.g., user equipment), in response to a request from a network device (e.g., a base station), may generate a channel state information (CSI) report based on measurements of a synchronization signal-physical broadcast channel (SS-PBCH) block (SS-PBCH block, SSB) transmitted over a plurality of antenna ports. The CSI report may include information related to a device-specific CSI and / or information indicating a sub-channel quality. The network device may send configuration information related to the CSI report, a measurement configuration of the SSB, and / or a configuration supporting early MIMO transmissions. The method shown in the present invention reduces a large delay between SSB detection and MIMO transmission during the initial access process.