5113 results about "Microwave" patented technology

The invention discloses a detection method, device and equipment in an RFID tag manufacturing process, and the method comprises the steps: obtaining stress monitoring data of a plurality of sections of a manufacturing assembly line, and carrying out the preliminary screening; multi-dimensional optical and thermal detection is carried out on the suspected abnormal labels, and deformation feature points are determined; carrying out partitioned microwave side emission test and impedance mismatch analysis on the tag with the real deformation risk, and evaluating the radio frequency performance; performing intelligent section repairing processing on the to-be-repaired label; and obtaining data of each section, performing multi-dimensional fusion analysis, obtaining optimized parameters, and performing real-time adaptive adjustment. According to the technical scheme, the RFID tag manufacturing process can be comprehensively monitored, abnormal tags can be accurately identified and positioned, intelligent repair and process optimization are achieved, the product quality and the production efficiency are effectively improved, the defective product rate is reduced, and an innovative quality control solution is provided for RFID tag manufacturing.

The invention provides a thermal wave imaging detection method based on nonlinear frequency modulation microwave excitation induction, and the method comprises the steps: constructing a composite excitation module of Gaussian beam and dynamic phase compensation, decomposing high-frequency / low-frequency sub-pulses for alternate emission, synchronously collecting infrared non-uniform sampling and microwave polarization diversity data, and carrying out the detection of the thermal wave imaging. And through feature fusion of a time domain CNN and a frequency domain graph neural network, propagation parameters are iteratively corrected in combination with a thermal diffusion equation model, and defect and deep structure detection is realized. According to the method, the composite excitation structure is combined with high-frequency / low-frequency sub-pulse alternate emission, the micro-defect detection resolution and the deep structure penetrating capacity are remarkably improved, the feature robustness is enhanced through multi-modal data acquisition and cross-modal neural network fusion, detection depth self-adaptive optimization is achieved through a depth compensation model and Kalman filtering, and the detection precision is improved. The parameter precision is improved with the assistance of a terahertz spectrum coupling matrix and Landweber iterative inversion, and finally an advanced detection system integrating efficient excitation, multi-dimensional perception and intelligent analysis is formed.

The invention provides a bridge structure monitoring method and device based on a microwave deformation radar, and relates to the technical field of bridge structure monitoring, and the method comprises the steps: obtaining the multi-point three-dimensional displacement data of a bridge structure through the microwave deformation radar, carrying out the thermal expansion pseudo displacement compensation and multi-point space smoothing through combining with temperature information, and obtaining a displacement field after environment correction; secondly, extracting a vertical component and separating the vertical component into a static deformation component and a dynamic vibration component by adopting variational mode decomposition; further analyzing and identifying a decoupling region through a time window coherence coefficient, performing recursive quantitative analysis, bispectrum analysis and energy distribution entropy calculation on a dynamic signal of the region, and constructing a high-order damage sensitive feature set; and finally, the dynamic characteristics and the static curvature change are fused to form a comprehensive degradation degree index, the deviation degree is judged according to working condition classification and the mahalanobis distance, and multi-dimensional and cross-working-condition degradation identification and risk early warning of the bridge structure are achieved.

The invention discloses a microwave radio frequency link multi-index comprehensive measurement method, and relates to the technical field of radio frequency communication testing, and the method comprises the following steps: S001, building a peak power prediction model, generating a peak power probability curve based on the statistical distribution characteristics of a plurality of carrier signals, and forming a peak early warning vector containing an estimated time point and an amplitude value; and S002, executing synchronous sampling scheduling according to the peak early warning vector, and by adjusting a sampling trigger threshold and a time window parameter, enabling a sampling window to aim at peak power occurrence time and cover a time interval of amplitude limiting protection. According to the method, through peak value prediction, accurate sampling, multi-dimensional difference and distortion identification, efficient capture and dynamic regulation and control of amplitude limiting abnormity are realized, a prediction-identification-adjustment-optimization closed-loop process is constructed, the monitoring integrity and adaptive capacity of a microwave radio frequency link to sudden distortion are remarkably improved, and stable operation of a system is guaranteed.

The invention discloses a joint test system, a silicon carbide metasurface grating detection method and a silicon carbide metasurface grating detection device, and belongs to the technical field of semiconductor detection. A synergistic excitation signal is generated by regulating a light source and a microwave source and is applied to the silicon carbide metasurface grating to be measured to form a light intensity and microwave field interference pattern. The method comprises the following steps: synchronously acquiring data through multiple channels, constructing a multi-dimensional matrix through time alignment, marker feature extraction and coordinate mapping, extracting defect features to establish a reference model, calculating deviation degree to judge quality, and carrying out abnormal point screening, candidate region construction and coupling verification on a defect grating to divide a potential defect region. For a potential defect area, excitation parameters are dynamically adjusted through a gradient descent algorithm, and defect grades are divided by combining the characteristic defect degree and the area. According to the invention, the problems of insufficient single-mode detection, low multi-mode alignment precision and blind adjustment of excitation parameters are solved, cross-band cooperative detection and intelligent grading are realized, and the detection reliability is improved.

The invention discloses a multi-parameter coupling intelligent regulation and control method and system in a vanadium ore smelting process, relates to the technical field of non-ferrous metal smelting automatic control, and solves the problems of feeding deviation and resource chain scission caused by slow response of an existing heat balance model to ore impurity fluctuation, online sensing lag and process island. The impurity concentration and the dielectric constant are obtained in real time through an LIBS / XRF combined probe and a microwave dielectric spectrum, rheological disturbance is dynamically corrected through extended Kalman filtering, a dynamic coupling response model is input, a thermodynamic interference factor is calculated, and a leaching and precipitation strategy is generated; performing mother liquor tail gas material flow collaborative optimization in parallel, constructing a multi-dimensional control vector U, performing iterative updating through near-end strategy optimization in a digital twin and issuing the multi-dimensional control vector U to an edge PLC (Programmable Logic Controller) in a distributed manner, and finally correcting a model weight through online XRD (X-Ray Diffraction) feedback; according to the method, the adaptive capacity to complex vanadium ore component disturbance, the response precision of online control and the inter-process resource circulation efficiency are remarkably improved.

The invention relates to the technical field of industrial platform data analysis, in particular to a renewable resource recovery data management system based on the Internet of Things, which comprises the steps of synchronously acquiring weight, spectrum and microwave characteristic data of a tested resource through a data acquisition module, executing moisture weight decoupling operation by utilizing a resource matching module, and performing data analysis; then, an inventory evolution module tracks performance loss of resources in real time by using an evolution model of an integrated long and short-term memory network, generates a resource attenuation weight, and constructs a two-dimensional decision matrix containing scheduling priority and preprocessing strength grade instructions in combination with real-time inventory saturation; and finally, the clearance scheduling module executes dynamic pruning and bidirectional optimization through a resource scheduling model, accurately allocates the loading share and the access sequence of each node, and generates a dynamic instruction set containing a delivery sequence. According to the method, feeding homogenization is realized through industrial data multi-dimensional collaborative analysis.

The invention discloses a Rydberg atom microwave measurement sensitivity improving method based on atom velocity selection, and relates to the field of Rydberg atom microwave measurement, and the method comprises the steps: moving the frequency of probe light to an energy level resonance transition position of cesium atoms from a ground state to an excited state, scanning the frequency of the coupled light within a Rydberg state energy level preset range, and observing an EIT signal; the frequency of the detection light is changed, the detuning amount of the detection light is selected to enable the EIT signal to reach the maximum, and the frequency of the detection light is locked to the frequency corresponding to the maximum position of the EIT signal; meanwhile, a local oscillation field signal generator in the Rydberg atomic microwave sensitivity measurement device is turned on, and corresponding EIT-AT splitting is generated; the frequency of the coupling light is locked to the coupling light laser frequency corresponding to the lowest point of EIT-AT splitting, and the Rydberg atom microwave measurement sensitivity reaches the maximum. The cesium atom speed is screened and controlled, and the signal-to-noise ratio of the measurement signal is improved, so that the measurement sensitivity is improved.

The invention belongs to the technical field of ocean remote sensing, and relates to a spaceborne microwave radiometer tropical cyclone wind speed inversion method based on physical constraint deep learning, comprising the following steps: acquiring tropical cyclone parameter information; extracting multi-band brightness temperature data of the satellite-borne microwave radiometer in a corresponding space-time range, and constructing a sample data set; a deep learning inversion algorithm model with physical constraints is loaded and trained; the physical constraint deep learning inversion algorithm model comprises an input layer, a network layer, a physical layer and an output layer; the network layer is composed of a residual neural network, the physical layer is composed of a D matrix remote sensing statistical formula and provides physical constraints for the whole model, and the D matrix is a nonlinear D matrix; and outputting the tropical cyclone wind speed in the current space-time range. According to the method, the brightness temperature information of the satellite-borne microwave radiometer is obtained by utilizing the tropical cyclone trajectory information, and the network model with physical information is constructed by utilizing the combination of the D matrix equation and the neural network, so that more accurate and high-precision tropical cyclone wind speed information is obtained.

The invention provides an HY-2A ocean water vapor inversion method based on machine learning, and the method comprises the steps: constructing a high-quality HY-2A scanning microwave radiometer data set through the data preprocessing, matching, feature extraction and normalization processing of HY-2A satellite scanning microwave radiometer data and ERA5 reanalysis data. A plurality of machine learning models are used for training and testing, Bayesian optimization is used for realizing hyper-parameter automatic adjustment, an optimal solution in finite time is obtained, an SHAP method is used for explaining the models, contribution of each characteristic variable is clear, interpretability of the used machine learning models is improved, and finally high-precision inversion of the water vapor over the sea is realized. The method has efficient calculation performance, can realize rapid processing of large-scale marine meteorological data, and improves the interpretability of a machine learning model. The method has important application value in numerical weather forecast, ocean extreme weather forecast, climate monitoring and other geophysical and meteorological fields.

The invention discloses a multi-field coupled microwave deicing intelligent system and an energy efficiency dynamic regulation and control method, and relates to the field of material surface ice layer desorption behavior research and deicing technology experimental testing. In order to solve the technical defects in the prior art that the existing microwave deicing technology still has obvious defects in the aspects of power adjustability, field distribution uniformity, interface depth temperature measurement, real-time mechanical test and the like, the technical scheme provided by the invention is as follows: the microwave deicing device comprises a microwave box body which is a metal closed cavity and is provided with a waveguide interface; a stirrer is arranged inside; the refrigerating system is connected with the back surface of the bearing plate of the microwave box body; a pressure head at the tail end of the mechanical loading module applies thrust to the ice layer; the device and the method are used for realizing construction, microwave heating and real-time mechanical testing of a low-temperature icing environment on the same platform. The method can be applied to dynamic monitoring and research work in multi-physics coupling deicing scenes such as aviation, traffic and new energy.

According to the optical carrier microwave stable transmission system based on the temperature control optical fiber delay line provided by the invention, accurate reverse compensation is carried out on delay jitter change through the delay compensation module, and excellent delay consistency is shown in ultra-wideband signal transmission; the defect that compensation devices such as a traditional piezoelectric ceramic optical fiber stretcher, an optical phase shifter, a cascade multi-stage optical switch and a motor space optical delay line cannot meet the requirements of large range, high precision, quick response and wide frequency spectrum compensation capability at the same time is overcome; that is to say, the link delay compensation scheme in the transmission system has large-range, high-precision, quick-response and wide-spectrum compensation capabilities, and is particularly suitable for optical fiber transmission links with high stability and consistency requirements on ultra-wideband signal transmission.

The invention relates to the technical field of wave-absorbing materials. Specifically, the invention relates to a ferrite composite multi-walled carbon nanotube wave-absorbing material and a preparation method thereof. The invention also relates to electronic equipment containing the ferrite composite multi-walled carbon nanotube wave-absorbing material. The ferrite composite multi-walled carbon nanotube wave-absorbing material prepared by the invention comprises a ferrite magnetic material with magnetic loss and a multi-walled carbon nanotube material with electrical loss, and the composite material introduces multiple electromagnetic energy loss modes through unique structural design and component synergy, so that the wave-absorbing performance of the material is enhanced. In addition, the preparation method disclosed by the invention is simple in process, low in requirement on equipment, green and environment-friendly, and free from any toxic and harmful by-products.

The invention discloses a fire-fighting non-destructive detection method based on multi-modal detection, and relates to the technical field of fire-fighting engineering, and the method comprises the following steps: carrying out the rapid scanning of fire-fighting equipment through an ultrasonic array, analyzing and positioning a suspected defect region based on a time domain reflection signal, and generating a three-dimensional coordinate mapping model; and performing multi-angle X-ray projection acquisition on the positioning area, and generating an internal structure cross-sectional image through a three-dimensional reconstruction algorithm. According to the fire-fighting non-destructive detection method provided by the invention, by integrating various technical means such as ultrasonic array scanning, X-ray tomography, thermal imaging analysis and microwave sealing detection, comprehensive and accurate identification of potential defects of fire-fighting equipment is realized, and the dimensionality and precision of defect detection are improved; the structural integrity of the equipment is kept to the maximum extent, extra risks caused by destructive detection are avoided, and the reliability and accuracy of detection are improved through a data fusion algorithm.

The invention discloses a multi-sideband chirp modulation DAS system and a working method thereof, and relates to the technical field of distributed sound wave sensing. The DAS system comprises a narrow linewidth laser, an optical fiber coupler, a phase modulator, an electro-optical modulator, an erbium-doped optical fiber amplifier, an optical fiber circulator, a dense wavelength division multiplexer, a photoelectric balance detector, a data acquisition card, an arbitrary waveform generator, a direct current source and the like. The phase modulator is used for modulating constant-amplitude multi-frequency continuous light, the frequency number of light waves is related to the harmonic number of a microwave modulation signal, the frequency interval is determined by the fundamental frequency of the microwave modulation signal, the continuous light frequency can be flexibly modulated by adjusting the microwave modulation signal, and the modulation bandwidth is large; detected beat frequency signals are compressed into single-frequency signals through pulses, phase information of the single-frequency signals is demodulated, vibration signals along the sensing optical fiber can be detected, the spatial resolution of the system depends on the chirp frequency sweeping range, and the spatial resolution is high.

The invention discloses a shale oil exploitation method based on cooperation of multistage pulse gas fracturing and nano-catalysis, and belongs to the technical field of oilfield development, and the shale oil exploitation method comprises the following steps: S1, determining an optimal drilling position of a target shale layer, and carrying out drilling operation; s2, 0.1-10 Hz adjustable pulse pressure waves are formed through control of a high-frequency electromagnetic valve, a fracturing medium mixed with the functionalized nanoparticles is injected into the stratum through a fracturing pump, the pulse frequency of the high-frequency electromagnetic valve is adjusted, staged pulse fracturing operation is conducted, and a fracture network is formed; s3, after fracturing of each stage is completed, mixed fluid of a propping agent and fracturing fluid is injected into stratum fractures; and S4, after fracturing operation is completed, a microwave field is applied to the stratum, and the stratum temperature is kept within a set range. According to the method, the gas fracturing medium and the functionalized nanoparticles are mixed and then fractured, so that the influence on the environment is remarkably reduced, and the recovery ratio of shale oil is greatly increased under the combined action of multi-stage pulse fracturing, the composite proppant and the microwave field.

The invention relates to the technical field of microwave communication, and discloses a microwave communication data transmission method, which comprises the following steps: S1, sensing real-time rainfall intensity and atmospheric turbulence intensity parameters through combination of a multi-band radar and a meteorological sensor; s2, establishing a fractional order random channel model of a rainfall and turbulence coupling effect; s3, generating a dynamic coded modulation control strategy based on deep fractional order reinforcement learning; s4, optimizing a programmable metasurface reflection coefficient matrix according to the dynamic coded modulation control strategy and a channel state to reconstruct an electromagnetic propagation path; s5, executing power-codebook joint optimization of space-time coding and non-orthogonal multiple access; and S6, the system stability is monitored on line, and a degradation fault-tolerant mechanism is triggered. According to the invention, a Ku / W dual-band radar and meteorological sensor variational Kalman fusion technical scheme is adopted, and compared with a single-band radar or sparse meteorological station isolated observation scheme in the prior art, the problem of signal sudden drop misjudgment in a rainstorm scene is solved.

The invention relates to the technical field of fire coal control, and discloses a thermal power plant fly ash floating black online detection control method and system, and the method comprises the steps: 1, employing microwave, infrared and laser sensors for cooperative work, detecting carbon dielectric characteristics through microwave dust interference resistance, identifying thermal radiation difference through infrared, and analyzing particle distribution through laser; 2, on the basis of the detection requirements in the step 1, triple protection of air curtain barrier, ultrasonic cleaning and hydrophobic coating is designed, dust condensation is blocked, and it is ensured that the light transmittance of the sensor is larger than 90%; the invention provides a multi-mode sensing fusion-anti-interference current stabilization-closed loop optimization full-link solution for the industrial problem of signal distortion caused by optical window dew formation and dust deposition, airflow disturbance and environmental interference in fly ash floating black online detection. The light transmittance of the optical window is greater than 93% by combining triple protection of air curtain barrier, ultrasonic cavitation stripping and nano hydrophobic coating.

The invention belongs to the technical field of ocean remote sensing detection, and relates to a sea temperature inversion method based on K-Ka band microwave radiometer weak signal enhancement deep learning. Parameters of measured data of the microwave radiometer and reanalysis sea gas parameter data are selected; determining the size of a space-time window based on the brightness temperature characteristics of K and Ka wavebands, and carrying out space-time matching to establish a modeling data set; performing quality control on the modeling data set based on indexes such as quality identification, offshore distance, brightness temperature abnormity and air-sea parameter abnormity; normalizing the modeling data set and splitting the modeling data set into a training set, a verification set and a test set; and constructing a weak signal enhancement DNN model based on the K-Ka band microwave radiometer by using the training set and the verification set, and performing inversion by using the test set to obtain a sea surface temperature product. According to the method, the precision of performing sea surface temperature inversion by using the K and Ka wave band brightness temperatures of the microwave radiometer is improved, the problem of insufficient precision is solved, and a new possibility is provided for inversion of SST on a finer scale.

The invention discloses a Ka-band waveguide three-way power divider, which belongs to the technical field of microwave and millimeter waves, and is characterized in that a combining port is formed in the front side wall of a shielding box, and three distribution ports are formed in the rear side wall of the shielding box; a coplanar magic T equal power divider, a coplanar magic T equal power combiner, a branch waveguide unequal power divider, an L-shaped waveguide, a Z-shaped waveguide and a half waveguide-full waveguide gradual change structure are arranged in the shielding box. Wherein the coplanar magic T equal power divider comprises an E-T junction waveguide cavity, two equal branch waveguide cavities, a microstrip probe and a power resistance load, and outputs two paths of signals with equal amplitude and opposite phases; the branch waveguide unequal power divider comprises a four-branch waveguide directional coupler and an inclined-wedge-shaped waveguide matching load, and the output power ratio of a straight-through output port to a coupling output port is 2: 1. The filter has the advantages of being symmetrical in structure, good in amplitude and phase consistency, small in insertion loss, good in port standing wave and high in isolation degree.

The invention provides a remote sensing image cloud removal method based on a microwave-guided diffusion model. The method comprises the following steps: S1, establishing a cloud body mask; S2, analyzing and extracting multiband microwave features; S3, training and generating a visible light image by using the microwave-guided diffusion model; according to the method, principal component analysis is carried out on multiband microwave data to extract significant features, the significant features are input into a diffusion model, meanwhile, ControlNet is introduced, a conditional branch network is added into the diffusion model through the ControlNet, additional conditional information (such as a cloud mask, multiband microwave principal component features or edge features and the like) is embedded into a specific stage of the diffusion process, and the diffusion efficiency is improved. The method achieves the precise control of a generation result, further improves the performance of a diffusion model in a remote sensing image cloud removal task, achieves the high-quality image generation and the precise recovery of earth surface information, and better retains the texture and detail information of ground features.

The invention discloses a transparent antenna for microwave energy transmission and a preparation method and application thereof, and belongs to the technical field of antennas. The transparent antenna comprises a radiation patch, a radiation patch substrate, a dielectric substrate, a reflection backboard substrate and a reflection backboard which are arranged in sequence. Wherein the radiation patch and the reflection backboard are copper nets; the dielectric substrate is of a hollow frame-shaped structure. The preparation method is simple, the adopted materials and the preparation process are both existing mature technologies, large-scale industrial production is easy to achieve, metal copper is adopted to replace traditional transparent metal (ITO), the cost of raw materials is reduced, high-transparency PET and PDMS are adopted as the preparation materials, it is guaranteed that the antenna has high transmittance in the visible light wave band, and the antenna is suitable for large-scale industrial production. Through the combination of the optimized pattern design of the antenna radiation layer and the dielectric substrate with the frame-shaped structure, the energy transmission efficiency and radiation performance of the antenna are remarkably improved, and the dielectric loss of the antenna is reduced.

The present invention discloses a fusion method for multimodal data complementary, error correction and loss tolerance mechanisms. The steps include: collecting microwave data stream and infrared data stream under the same scene; extracting features from the microwave data and infrared data stream, adopting a multimodal feature fusion framework, and through adaptive learning of the weights of the features, performing complementary fusion of multimodal data; designing a multimodal generation network to generate lost modal data, and automatically identifying and correcting the registration error caused by the sensor by using the registration difference; performing fault tolerance processing on information loss and error correction, dynamically adjusting the weights of different modalities in the fusion, and enhancing the stability of the system in complex environments. Driven by deep learning, the complementary nature between multimodal data is fully exploited, the problems of information loss, registration error and fault tolerance are solved, the accuracy and robustness of microwave and infrared data fusion are significantly improved, and it is applicable to target detection and recognition in complex data fusion tasks.

The invention relates to the technical field of electric power communication, in particular to a remote control system and method for a multimode communication chip of a middle-high voltage power line, and the system comprises a communication chip module, an edge node module, a central server module and a block chain network module. And the verification module is used for verifying the consistency of the cooperative control instruction and recording equipment state data. Based on a multi-mode converged communication architecture of carrier communication, microwave communication and laser communication, reliable communication in a middle and high voltage power line environment is realized through an intelligent switching and cooperative working mechanism. And the power line channel state, the service requirement and the frequency spectrum use condition can be monitored in real time.

The invention discloses an ion control method and device, an ion trap system and a related device, and belongs to the technical field of quantum information. A plurality of ions in the ion trap system are in a magnetic field with a magnetic field gradient, the magnetic field gradient enables transition frequencies of the plurality of ions to be different, and each ion is of a multi-energy-level structure. The method comprises the steps that according to the transition frequency of a plurality of first ions, the energy level of the first ions is adjusted so that the first ions irrelevant to quantum control can be transferred from a calculation space to an auxiliary space, and the energy level of the ions in the calculation space is different from the energy level of the ions in the auxiliary space; and performing quantum manipulation on the plurality of second ions in the calculation space to form a plurality of quantum bits. According to the scheme, light finding of ions is not needed, light finding of ions is not needed, multi-ion control can be achieved through global laser or microwaves, and implementation is easy. And moreover, multi-ion control can be realized by using a relatively small magnetic field gradient, and the ion control threshold is reduced.

Microwave antennas and devices incorporating such antennas usable for performing procedures on or within a patient's body using a shaped microwave field.

The invention discloses an unmanned aerial vehicle suitable for microwave reconnaissance interference equipment and an equipment antenna arrangement method, and belongs to the field of unmanned aerial vehicles. The unmanned aerial vehicle comprises a fuselage, wings and an empennage. The fuselage comprises a fuselage head, a fuselage body and a fuselage tail. The wings adopt upper single wings and are mounted at the top of the fuselage; the empennage is installed at the tail of the fuselage. The head of the fuselage adopts a nose cover made of wave-transparent materials, a plurality of forward interference antennas are mounted in the nose cover, lateral interference antennas and reconnaissance antenna arrays are mounted on fuselage skins on two sides of a fuselage main body, a plurality of backward interference antennas are mounted in an engine cover made of wave-transparent materials at the tail of the fuselage, and propellers at the tail end of the unmanned aerial vehicle are made of wave-transparent materials. Through the conformal design of the unmanned aerial vehicle and the antenna, the influence of the antenna on the aerodynamic performance of the unmanned aerial vehicle is reduced to the maximum extent, the aerodynamic layout of the unmanned aerial vehicle is optimized by combining the antenna arrangement, and the task antenna is not shielded.

The invention discloses a microwave radio frequency waveform array optimization method, and relates to the technical field of signal processing, and the method comprises the steps: S1, monitoring an original link of a target multi-carrier system in real time, obtaining channel state data from the original link, screening out the channel state data, and marking the channel state data as an abnormal link segment; s2, calculating an antenna gain and a compensation coefficient by using a minimum variance undistorted response method; s3, applying each compensation coefficient to a corresponding abnormal link section to obtain an actual gain value; s4, compensation coefficient numerical value supplementation is carried out on the actual gain values which do not reach the distribution gain values; and S5, marking the abnormal link section reaching the distribution gain value as a correction link section, and reapplying the correction link section to the original link to generate channel correction data. According to the method, the antenna gain and the beam forming are optimized by monitoring in real time and using the MVDR method, so that the system can dynamically adjust the beam direction among a plurality of link sections, and the method has the advantages of reducing beam forming offset and being capable of correcting the system in real time.

A system configured to detect custom acoustic events, where the system generates an acoustic event profile for the custom acoustic event based on a natural language description and without a sample of the sound. The system may generate a profile for a new custom sound based on a natural language description provided by the user; for example, a “microwave beep.” If the system does not have an existing event profile for a microwave beep, the system may ask the user questions to determine whether any existing event profiles are close (e.g., is the sound similar to a “fan,”“alarm,”“appliance beep,” etc.). The system may detect an event that may be a possible match for the custom sound and ask the user to verify whether the detected event corresponds to the custom sound. The system may update the event profile based on the user's response.

The utility model discloses a double-frequency circularly polarized fusion antenna with a large frequency ratio, which comprises a first dielectric plate and a second dielectric plate, the first dielectric plate is positioned above the second dielectric plate, and the lower surface of the first dielectric plate is a copper-clad layer serving as a grounding plate. And a first metal radiator, a second metal radiator, a third metal radiator and a fourth metal radiator are arranged on the upper surface of the antenna. One end, close to the center of the dielectric plate, of the radiator is loaded with a metal column and connected with the grounding plate, and one end, away from the center of the dielectric plate, of the radiator is loaded with a millimeter wave metal probe. A microwave feed network and four 180-degree phase difference power dividers are arranged on the lower surface of the second dielectric plate, an output port of the microwave feed network is connected with the four microwave metal probes, and output ports of the 180-degree phase difference power dividers are connected with the eight millimeter wave metal probes. The dual-frequency circular polarization antenna has a dual-frequency circular polarization characteristic, can effectively reduce the influence of a multipath effect, and achieves the multiplexing of the radiator, thereby reducing the demands for the space resources of communication equipment.