82 results about "Frequency grid" patented technology

The invention discloses a multi-source equipment health collaborative operation and maintenance method in a complex environment based on edge federation, and relates to the technical field of equipment collaborative operation and maintenance. Vibration acoustic emission current waveforms are mapped to a unified time-frequency grid at an edge gateway, and an encrypted sparse index is generated and uploaded; training a global model by combining a graph regular base network with a gradient direction and a distribution distance, and injecting fault information by using a new working condition protection door; after being issued by a sparse adaptation layer of double-temperature-zone distillation and random projection compression, fine adjustment is carried out on site under few samples through temperature gradual fusion and reversible orthogonal mapping, and only unit gradient direction and health labels are uploaded; the center adopts entropy constraint Bayesian filtering to fuse information to generate a health index, a maintenance schedule and a spare part plan are formed by integer programming according to confidence intensity mapping risk popularity, a result is differentially pushed and audited, and a closed loop of collection, learning, evaluation and decision is realized.

The invention provides an OTFS radar communication integrated signal processing method and system based on time-frequency-space domain joint optimization. According to the method, pilot symbol positions and densities are configured in an OTFS time-frequency grid according to channel time-varying characteristics and bandwidths, and a Doppler index range is set to optimize channel information acquisition; deploying a controllable reflecting surface, constructing a phase modulation matrix based on a target position and communication channel parameters, dynamically adjusting a phase gradient direction, and separating energy of a target echo and a communication signal; within a set Doppler index range, calculating frequency offset estimation, correcting a time domain sampling point of a received signal, and generating a phase correction vector; and positioning a spatial aliasing main interference area, and inhibiting symbol interference and spatial aliasing caused by a high-speed target through frequency domain beam forming weighting and phase rotation compensation in combination with a phase correction vector and a sub-Doppler parameter in the area. According to the invention, time-frequency-space domain cooperative efficient processing of OTFS radar communication integrated signals is realized.

The invention discloses a joint detection method for a satellite-ground downlink NOMA (Non-Orthogonal Multiple Access) system, which is characterized by comprising the following steps of: S1, inserting pilot frequencies in a time-frequency grid through pilot frequency signals which are sparsely and uniformly arranged in a sub-channel of a transmitting end; s2, extracting a pilot signal at a receiving end, and performing channel estimation based on a deep residual convolutional network; s3, performing multi-user signal detection based on an iterative retraining method of a deep neural network; s4, optimizing power distribution within a power distribution factor threshold range based on a sparrow search algorithm, and minimizing a system bit error rate; s5, combining the step S2, the step S3 and the step S4 to form a joint detection model based on deep learning; through combination of deep learning and a sparrow search algorithm, the problems of channel estimation precision, signal detection capability, power distribution optimization and the like in the system are solved, the overall performance and reliability of the system are improved, and the method is suitable for large-scale user access and efficient data transmission requirements in a modern satellite communication system.

The invention belongs to the technical field of quality detection, and discloses an electrical automation quality detection method and system. The method comprises the steps of collecting original voltage and current signals of a PCC point of a power grid and performing FFT to obtain a background harmonic frequency set and a background harmonic amplitude set; generating an initial frequency grid based on a preset target frequency band, and generating a sparse frequency grid in combination with the background harmonic waves; calculating the estimated signal-to-noise ratio of each candidate frequency, performing ascending sorting to obtain an injection sequence, injecting sinusoidal signals, collecting PCC point voltage response and total current, and calculating a frequency impedance data pair; performing rational function fitting based on the frequency impedance data to obtain a broadband impedance curve; analyzing the curve, extracting quality characteristic parameters, and performing quality judgment according to the parameters; according to the method, the technical problem that the grid-connected stability quality of a single new energy converter cannot be quickly and automatically qualified in a production line offline detection scene in the prior art is effectively solved.

The invention discloses a frequency control method and system for an offshore wind power flexible low-frequency sending-out system, and relates to the technical field of power system frequency supporting. The working condition parameters are subjected to power frequency coordinated optimization control through a power frequency side control model to obtain a power frequency control instruction and a target system frequency, and the target system frequency and the working condition parameters are subjected to low-frequency coordinated optimization control through a low-frequency side control model to obtain a low-frequency control instruction; and performing frequency support optimization control on the frequency of the wind turbine generator through the active frequency support control model to obtain an additional power instruction, and performing power control on the offshore wind power flexible low-frequency sending-out system by adopting a power frequency control instruction, a low-frequency control instruction and the additional power instruction. The technical problems that the actual frequency deviates from a rated working point and the system control difficulty is increased due to the fact that the frequency control of the system is realized through the flexible low-frequency grid-connected frequency coordination control system by offshore wind power in the prior art are solved.

The present invention relates to a transmitting device (100) and a receiving device (300) of a wireless communication system (500). The transmitting device is used for transmitting one or more synchronization signals on a carrier to at least one receiving device, the frequency of a synchronization signal in the one or more synchronization signals is located on a first frequency grid, the carrier frequency of the carrier is deployed on a second frequency grid, and the carrier frequency of the carrier is located on the first frequency grid. The frequencies of two different synchronization signals in the one or more synchronization signals are located at different frequency positions in the first grid; and transmitting an indication of the carrier frequency to at least one receiving device (300), where the indication comprises at least one integer. The receiving device (300) is configured to obtain a carrier frequency based on the at least one integer. The invention further relates to a corresponding method and to a computer program.

The invention provides an ocean internal wave flow field inversion method and device, and is applied to the technical field of ocean remote sensing application. The method comprises the following steps: acquiring a synthetic aperture radar (SAR) single-view complex image, and determining a Doppler centroid frequency grid of the SAR single-view complex image; determining a first sea surface radial flow velocity according to the Doppler centroid frequency grid, and determining the first sea surface radial flow velocity as a distance dimension component of a two-dimensional ocean internal wave surface flow field; determining an internal wave propagation direction according to the SAR single-view complex image, and determining an azimuth dimension component of the two-dimensional ocean internal wave surface flow field according to the internal wave propagation direction and the first sea surface radial flow velocity; and inputting the distance dimension component and the azimuth dimension component into an IIDopRIM model for iterative operation so as to output a second sea surface radial flow velocity and an azimuth flow field, and obtaining an ocean internal wave two-dimensional flow field according to the second sea surface radial flow velocity and the azimuth flow field.

The invention discloses a channel estimation method based on a super-resolution network. According to the invention, the time-frequency grid of the channel response is modeled as a known 2D image only at the pilot position. A channel grid with a plurality of pilot frequencies is regarded as a low-resolution image, and an estimated channel is regarded as a high-resolution image. And extracting target LR image features by using the constructed convolutional neural network, and performing interpolation processing between known pilot frequency positions, thereby performing super-resolution recovery on a channel image to become an HR image, and realizing channel estimation operation. The method comprises the following steps: constructing a super-resolution neural network; generating a training data set; training the super-resolution neural network; testing the network performance by using the tested data set; according to the method, the super-resolution neural network is used for learning the channel matrix characteristics, the accuracy and robustness of channel estimation are greatly improved, and the performance is improved.

The invention discloses a multi-strategy collaborative broadband oscillation uniform suppression method for a wind power flexible low-frequency grid-connected system. The method comprises the following steps: 1, establishing a wind power flexible low-frequency grid-connected system state space model under different installation positions and different broadband oscillation suppression strategies; 2, a broadband oscillation suppression strategy installation position under non-target frequency band damping constraint is obtained; and 3, selecting a multi-strategy collaborative broadband oscillation uniform suppression strategy type. The invention provides a multi-strategy collaborative broadband oscillation uniform suppression strategy by considering the problems that non-target frequency band damping is possibly deteriorated and the system is unstable while the target frequency band damping of a wind power flexible low-frequency grid-connected system is improved by the broadband oscillation suppression strategy. After the broadband oscillation suppression strategy is added, any frequency band has uniform positive damping, the stability margin of the wind power flexible low-frequency grid-connected system is improved from the broadband range, and the problem of system instability caused by non-target frequency band damping deterioration is avoided.

The invention discloses an underwater sound double-expansion channel parameter estimation method based on Newton orthogonal matching pursuit. The method comprises the following steps: firstly, realizing frame synchronization by using a cross-correlation peak of an LFM signal and a received signal; a coarse estimation value of a Doppler coefficient is obtained on a discrete time frequency grid through an ambiguity function method by utilizing the self-correlation characteristic of m-sequence pilot frequency, multipath time delay of a channel is detected by utilizing a matched filtering peak value of a signal after frequency offset compensation, and a coarse estimation result of the channel is obtained; executing Newton iteration optimization in a continuous parameter space by adopting a Newton orthogonal matching pursuit algorithm to realize super-resolution off-grid estimation of the Doppler coefficient of the first data block; and finally, proposing an iterative block tracking strategy, initializing the compensation of the rear block through the estimated value of the front block, and updating the time-varying Doppler coefficient by using the balanced signal feedback to realize the dynamic tracking of the time-varying Doppler coefficient. According to the invention, the Doppler estimation root-mean-square error is obviously reduced, and the calculation efficiency is high.

Embodiments disclosed herein encompass methods, apparatus, and systems for interference management. First resource elements (REs) are configured to enable measurement of interference that affects communications between a first user equipment (UE) and a first network device in a wireless communication system. The first REs include REs that correspond to a subset of REs in a set of second REs, and the set of second REs includes all REs at a time position in a time-frequency grid that are muted for communications by a second UE. Interference mitigation based on the interference measurement may be applied to manage the interference. The interference may include cross-link interference between links in the same wireless communication system, or links in different wireless communication systems such as a terrestrial network and a non-terrestrial network.

A user equipment, UE, is configured for operating in a wireless communication network that utilizes resources of a time / frequency grid. The UE is adapted to report to the wireless communication network a connectivity information associated to a first connectivity option of the UE to the wireless communication network and associated to a second connectivity option of the UE to the wireless communication network; and / or is adapted to receive, during a same instance of time, and decode a first signal received from a first transmission / reception point, TRP, and a second signal received from a second TRP, the first signal and the second signal occupying resources in the same time / frequency grid.

A Global Navigation Satellite System (GNSS) receiver for processing GNSS satellite signals use a quasi-asynchronous sampling frequency grid to process the received signals. The GNSS receiver includes a plurality of RF paths configured to receive Global Navigation Satellite System (GNSS) signals from an antenna and transmit the GNSS signals in a frequency range for digitizing the GNSS signals. A phase-locked loop is configured to generate a clock signal and a plurality of clock dividers are configured to receive the clock signal and divide the clock signal. Each of a plurality of navigation systems receive a clock signal from one of the plurality of clock dividers.

The invention discloses an unknown radiation source individual identification system, method and equipment. The invention particularly relates to an unknown radiation source classification and identification method based on electromagnetic signal SLIB, time-frequency grid-energy feature fusion and entropy penalty K-means clustering. According to the method, time-frequency grid-energy features and contour integral bispectrum features divided by a time-frequency spectrum grid are subjected to PCA + t-SNE dual dimension reduction and splicing fusion to form a fusion feature vector, so that nonlinear high-order statistical features of signals are included, local fine-grained energy change information of a time-frequency domain is reserved, and the fusion feature vector is more accurate and efficient. Therefore, the essential characteristics of the signal can be represented more comprehensively. Secondly, a K-means clustering method based on entropy penalty is constructed, an unsupervised adaptive strategy is adopted, dynamic cluster center adjustment and an information entropy weight updating mechanism are combined, and the number of clusters is adaptively adjusted. Meanwhile, a Gamma dynamic adjustment factor and a Beta weight mechanism are introduced, sample attribution calculation is optimized, and the stability and robustness of clustering are improved.

First resource elements (REs) are configured for determination of different components of interference that affects communications between a first user equipment (UE) and a first network device in a wireless communication system. The first REs include REs that correspond to a subset of REs in a set of second REs, and the set of second REs includes all REs at a time position in a time-frequency grid that are muted for communications by a second UE. The first REs further include an RE that corresponds to an RE at a time position in the time-frequency grid, different from the time position of the REs that are muted. The interference may include cross-link interference between links in the same wireless communication system, or links in different wireless communication systems such as a terrestrial network and a non-terrestrial network.

Disclosed is a network device for a wireless integrated radar sensing and communication network, the network device comprising: a resource mapper configured for receiving a data resource allocation message and an enhanced sensing resource allocation message; wherein the resource mapper is configured for selecting a subset of resource elements for communication and coarse radar sensing from a time-frequency grid depending on the data resource allocation message; wherein the resource mapper is configured for selecting a subset of resource elements for enhanced radar sensing from the time-frequency grid depending on the enhanced sensing resource allocation message; wherein the resource mapper is configured in such way that the subset of resource elements for enhanced radar sensing is randomly distributed in the time-frequency grid.

The embodiment of the invention provides a land low-frequency new energy collecting and sending-out system and method, and the system comprises a low-frequency new energy power generation module, a low-frequency collecting module, a low-frequency power transmission system, and a low-frequency grid-connected module, the low-frequency new energy power generation module is connected with a low-frequency collecting switching station of the low-frequency collecting module through a plurality of low-frequency circuit breakers, and the low-frequency power transmission system is connected with the low-frequency grid-connected module. The low-frequency collection module is connected with a low-frequency overhead line of the low-frequency power transmission system through a low-frequency circuit breaker, and the low-frequency overhead line in the low-frequency power transmission system is connected with a low-frequency transformer in the low-frequency grid-connected module through a low-frequency circuit breaker. A low-frequency transformer in the low-frequency grid-connected module is connected with a power frequency main power grid through an AC-AC frequency converter and a power frequency circuit breaker; according to the invention, large-scale land new energy can be collected and sent out remotely, new energy consumption is promoted, and the power grid efficiency is improved.

The application discloses a variable-frequency-power-frequency automatic switching energy-saving system and method, and belongs to the technical field of motor control, which comprises the following steps: in the variable-frequency starting stage, a motor is driven to run at variable speed by a frequency converter; when the motor reaches full frequency, high power and stable operation, a control device controls the output voltage of the frequency converter to be synchronous with the grid voltage, and the switching to the power-frequency grid is completed when the phases are consistent; when the load decreases and needs to be reduced, the control device starts the frequency converter to make the output voltage of the frequency converter synchronous with the counter electromotive force of the motor in the power-frequency operation, then performs a back switching operation, the motor in rotation is smoothly connected by the frequency converter, and speed reduction control is implemented, and finally the variable-frequency speed regulation operation state is returned; the application realizes automatic selection of the optimal operation mode according to the actual load, avoids energy loss of the frequency converter in the high-speed area, and ensures that the impact on the motor and the grid in the switching process is minimum.

The utility model relates to the technical field of electric power systems, and discloses a gas turbine synchronous control system which comprises a power supply loop, an input loop, a control loop, a signal output loop and an alternating current loop, and the alternating current loop is connected with a synchronous locking detection relay TJJ used for detecting analog quantity of a generator side and analog quantity of a power grid side. The synchronous locking detection relay TJJ is connected with the control loop; according to the utility model, detection relays are reduced, the detection time is shortened, the detection precision is improved, wiring is simplified, the rotating speed and excitation of the generator are adjusted in time, same-frequency grid connection is ensured, and difference-frequency grid connection can be realized at the same time.

Methods and systems are described for accessing a network and differentiating a 5G network from a 6G network in a SSB. Methods can include searching for a SSB, detecting a valid PSS sequence, and decoding a SSS by matching a mapping of sequence elements of the SSS to resource elements of an OFDM time-frequency grid to a mapping of SSS sequence elements to resource elements of the OFDM time-frequency grid.

The invention relates to the technical field of wind turbine generator grid connection, in particular to a multi-objective optimization method, device and equipment for filtering parameters of an intermediate-frequency converter and a medium, and the method comprises the steps: determining an intermediate-frequency grid-connected wind turbine generator model, and calculating the inductance and capacitance ranges of a filter; establishing a multi-objective optimization function by taking the average value and the mean square error of the direct-current side voltage of the intermediate-frequency converter and the electric energy quality of the alternating-current side current as optimization objectives; building a multi-objective optimization model by taking a parameter combination of inductance and capacitance of the filter as a population parameter and taking a multi-objective optimization function as a degree function; and solving the optimization model by adopting a particle swarm algorithm to obtain an optimal solution of the inductance and capacitance parameter combination of the filter. According to the method, the parameter combination of capacitance and inductance in the filter circuit serves as the population parameter, the total objective function in the multi-objective optimization model serves as the adaptability function, the optimization model is solved, the filter parameters of the intermediate-frequency converter can be more accurate, and therefore a better filter effect is obtained.

The invention relates to a motor fault diagnosis method based on sparse Bayesian and a one-dimensional neural network. The method comprises the following steps: S1, collecting a motor stator current signal, and carrying out filtering and preprocessing; s2, performing Hilbert transformation on the current signal to obtain an analysis signal; s3, constructing a sparse signal model in the truncated frequency domain and performing frequency grid division; s4, solving the sparse model based on sparse Bayesian learning, and correcting the deviation between the fault frequency and the grid by adopting an off-grid model to obtain an envelope spectrum; and S5, inputting the envelope spectrum into a one-dimensional convolutional neural network to output a motor fault diagnosis result. The method has higher frequency recovery precision, stronger robustness and fault recognition accuracy exceeding 98% in a complex environment.

A coordinated control method for fixed-frequency grid-connected power sources and grid-connected power sources in microgrids belongs to the field of power system automation. Its key features include the following steps: Step a, determining the I-V droop curve parameters of the fixed-frequency grid-connected power source and the P-V droop curve parameters of the grid-connected power source; Step b, data acquisition and processing in the microgrid; Step c, setting the microgrid voltage constructed by the fixed-frequency grid-connected power source and setting the grid-connected power source's grid-connected output power; Step d, coordinated adjustment of the fixed-frequency grid-connected power source and the grid-connected power source based on load characteristics. In this application's technical solution, the fixed-frequency grid-connected power source uses an I-V droop curve to output AC current with a fixed frequency and phase consistent with the synchronization signal. The grid-connected power source tracks the grid phase through a phase-locked loop and adjusts its active power output according to the P-V droop curve. Both the fixed-frequency grid-connected power source and the grid-connected power source allocate active power according to their respective capacities, and each fixed-frequency grid-connected power source allocates reactive power according to its capacity, jointly maintaining the power balance of the microgrid.

A multi-static radar detection system for a vehicle includes one or more receivers for collecting multi-carrier modulation signals emitted by one or more transmitters that are positioned at base stations located in an environment surrounding the vehicle. The multi-carrier modulation signals include one or more types of reference signals. The multi-static radar detection system also includes one or more controllers in electronic communication with the one or more receivers. The one or more controllers execute instructions to collect, by the one or more receivers, a multi-carrier modulation signal emitted by the one or more transmitters. The one or more controllers determine a Doppler shift and a time delay of a respective object located within the environment surrounding the vehicle based on an interpolated time-frequency grid; and transform a value for the Doppler shift into a velocity value and a value for the time delay into a range value.

The invention discloses a flywheel hybrid offshore floating variable-speed constant-frequency wind power generation system, which relates to the technical field of wind power generation and comprises an impeller, a generator, a flywheel hybrid mechanism, a filter compensation mechanism and a control unit. The flywheel rotating at a high speed has a gyroscopic effect, stable torque generated by rotation of the flywheel can be used for resisting horizontal load effects of wind, waves, flow and the like, and swinging of the floating fan is reduced. And meanwhile, the flywheel hybrid mechanism and the filtering compensation mechanism can ensure that the generator obtains a constant synchronous rotating speed under the variable-speed wind condition, constant-frequency grid connection can be realized without a converter, and the stability and the electric energy quality of the system are improved.

A global navigation satellite system (GNSS) receiver for processing GNSS satellite signals uses a quasi-asynchronous sampling frequency grid to process the received signals. The GNSS receiver includes a plurality of RF paths configured to receive global navigation satellite system (GNSS) signals from the antenna and to transmit the GNSS signals within a range of frequencies to digitize the GNSS signals. The phase-locked loop is configured to generate a clock signal, and the plurality of clock frequency dividers are configured to receive and divide the clock signal. Each of the plurality of navigation systems receives a clock signal from one of the plurality of clock dividers.

Disclosed is a transceiver device such as a user equipment, UE, configured for operating in a wireless communication network providing a plurality of time resources in a time-frequency grid, the plurality of time resources having a first subset of time resources being sub-band full duplex, SBFD, time resources and a second subset of time resources being non-SBFD time resources; wherein according to a first configuration, the transceiver device restricts communication to one of the first type and the second type; and wherein according to a second configuration, the transceiver device uses both the first type and the second type for communication; wherein based on a received message, e.g., from a base station; and / or based on a determination result obtained by the transceiver device the transceiver device is to operate according to the first configuration or the second configuration.

Disclosed is a transceiver device such as a user equipment, UE, configured for operating in a wireless communication network providing a plurality of time resources in a time-frequency grid, the plurality of time resources comprising a subset of time resources being sub-band full duplex, SBFD, time resources; wherein a SBFD time resources provides for at least one uplink, UL, subband; and for at least one downlink, DL, subband. The transceiver device is to receive instructions indicating a link direction associated with whether to transmit UL or receive DL in a SBFD time resource; and to operate accordingly.

The present invention provides a method and device for inverting the ocean internal wave current field, which are applied to the technical field of ocean remote sensing applications. The method includes: obtaining a synthetic aperture radar (SAR) single-look complex image and determining the Doppler centroid frequency grid of the SAR single-look complex image; determining a first sea surface radial velocity according to the Doppler centroid frequency grid and determining the first sea surface radial velocity as the range dimension component of the two-dimensional ocean internal wave surface current field; determining the internal wave propagation direction according to the SAR single-look complex image, and determining the azimuth dimension component of the two-dimensional ocean internal wave surface current field according to the internal wave propagation direction and the first sea surface radial velocity; inputting the range dimension component and the azimuth dimension component into the IDopRIM model for iterative calculation to output a second sea surface radial velocity and an azimuthal current field, and obtaining the two-dimensional current field of the ocean internal wave according to the second sea surface radial velocity and the azimuthal current field.

The application provides an evaluation method for power transmission distance of a medium-frequency offshore wind farm power collection line. Firstly, based on the structure parameters of the medium-frequency submarine cable, the equivalent thermal resistance method is used to calculate the rated current of each cross-section submarine cable, and the cross-section of the medium-frequency power collection line is preliminarily selected according to the rated current and the loop current. Then, according to the cross-section of the preliminarily selected power collection submarine cable, the reactive and active values of the power collection loop are calculated. When P 损 ≤ 5% P 额定 , it is considered that the active output is basically not affected; finally, the preliminary economic evaluation of the submarine cable is carried out. If the total investment of the medium-frequency power collection line submarine cable is not more than 110% of the power frequency scheme, it is considered that the power transmission distance of the power collection line is reasonable, otherwise the power transmission range of the power collection submarine cable or the medium-frequency frequency needs to be recalculated. The application provides a more accurate calculation method for the power transmission range and the cross-section selection of the medium-frequency grid-connected type offshore wind power project, thereby providing a basis for the design of the medium-frequency type offshore wind power project.