683 results about "Antenna design" patented technology

The invention discloses a communication transceiving method and system for adaptive frequency hopping filtering, and relates to the technical field of communication. According to the method, the channel state is monitored in real time, the adaptive frequency hopping algorithm and the machine learning technology are adopted, the adaptability and the intelligent level of a communication system in a complex electromagnetic environment are improved, interference is effectively avoided, meanwhile, the antenna space constraint and the optimization algorithm are considered, the optimal antenna design parameters are calculated, the transmitting power control precision is improved, and the system performance is improved. The signal transmission efficiency and the communication quality are improved, the signal transmission quality and the system anti-interference capability are improved by dynamically adjusting the transmission power and the receiving end signal integrity keeping algorithm, the data accuracy and integrity are ensured, and the communication reliability and stability are enhanced.

The invention relates to the technical field of metasurface antennas, and provides a metasurface antenna parameter optimization method and system based on a convolutional neural network, and the method comprises the steps: collecting metasurface sample data; extracting a comprehensive electromagnetic feature set, and establishing a nonlinear mapping relation model; constructing an antenna performance comprehensive evaluation function, inputting the nonlinear mapping relation model and the antenna performance comprehensive evaluation function into a hybrid optimization algorithm to generate a parameter candidate set, and performing local optimization on the parameter candidate set by using a particle swarm algorithm to obtain a metasurface antenna parameter combination; and extracting electromagnetic characteristics of the metasurface antenna parameter combination, iteratively adjusting the height parameter of the resonant cavity until the height parameter meets a threshold value to obtain an electromagnetic simulation verification result, and feeding back the electromagnetic simulation verification result to the deep Q neural network model for parameter updating to obtain an optimal metasurface antenna parameter combination. According to the method, the optimization of antenna parameters is realized, the design efficiency of the metasurface antenna is improved, and the consumption of electromagnetic simulation calculation resources is reduced.

The invention discloses a microstrip MIMO antenna with a wide working frequency band and a wide decoupling frequency band, particularly relates to the technical field of microwave and millimeter wave communication, and solves the problems that most of the microstrip MIMO antenna mutual decoupling technologies in the prior art cannot be suitable for multimode broadband MIMO antennas; the technical problems that effective multi-mode mutual coupling suppression can be achieved only by additionally introducing a large-size metal structure or a stacked patch structure in a mutual coupling removal technology suitable for a multi-mode broadband MIMO antenna, and a high-integration-level planar broadband compact low-mutual-coupling MIMO antenna design scheme is lacked are solved. According to the technical scheme, on the basis of a single-layer planar microstrip antenna, a parasitic structure is loaded between two antenna units, and an antenna unit self-decoupling scheme is combined for design; the microstrip MIMO antenna is high in integration level and has a wide working frequency band and a wide decoupling frequency band at the same time.

The invention provides an artificial intelligence auxiliary antenna design method based on a Gaussian regression process, and the method comprises the steps: employing a script interface to interact with a simulation platform, automatically completing the parameterized modeling process of an antenna model, and setting an excitation condition and a radiation boundary; a multi-dimensional space stratified sampling method is adopted to generate a uniformly distributed sample point set in the multi-dimensional parameter space, and electromagnetic simulation is carried out; preprocessing the data output by simulation to form a data structure suitable for machine learning model processing; integrating the trained MLNN model into a grey wolf optimization algorithm, and optimizing antenna design parameters; and performing electromagnetic simulation on the optimal parameter obtained by optimization, comparing a prediction result with actual simulation data, and verifying the performance of the optimization engine in the target frequency band. According to the method, the problems of insufficient sample generation efficiency, insufficient parameter sensitivity analysis, limited model generalization ability, low convergence speed of an optimization algorithm and the like in the prior art can be solved.

Radio frequency antenna designs for mobile devices are provided. An example patch antenna element includes an active element comprising a square metallic patch disposed on a first plane, a plurality of metallic patches disposed on a second plane that is above and parallel to the first plane, wherein each of the plurality of metallic patches are separated from one another in the second plane by a gap, and a plurality of via structures disposed between the first plane and the second plane, wherein each of the plurality of via structures is configured to electrically couple a respective one metallic patch of the plurality of metallic patches with the active element.

The invention discloses a wireless communication battery management system with a signal adaptive adjustment function, and relates to the field of wireless communication networks. The signal monitoring unit is used for monitoring parameter data of wireless signals in real time and transmitting the parameter data to the signal processing unit, and the signal processing unit comprises a multi-band antenna and a signal acquisition circuit; and the signal processing unit is connected to the signal monitoring unit and is used for receiving the parameter data of the wireless signal transmitted by the signal monitoring unit and carrying out filtering, noise reduction and enhancement processing on the signal through a preset signal processing algorithm. The distributed multi-band antenna design is combined with the automatic gain control technology, the signal receiving range is expanded, blind areas are reduced, the stability of signal collection in a complex environment is improved, signal multi-scale noise reduction is achieved through the wavelet transform algorithm, the signal quality trend is pre-judged in advance in combination with machine learning prediction, and the signal quality is improved. And the control unit is supported to pre-adjust the transmitting power and switch to a high-quality frequency band, so that the probability of communication interruption is reduced.

Competing tradeoffs of overall footprint, weight, and performance impact the design of antennas for many applications. However, those for compact portable devices or mobile platforms exploiting global navigation satellite systems these are further compounded by seeking good performance over a wide angular range. Accordingly, it would be beneficial to provide designers of a wide range of electrical devices and systems with compact broadband antennas which offer a low vertical profile relative to that provided by the common filar element approaches for high precision applications. Accordingly, through a combination of a dipole, a parasitic element, and additional ground elements to a convention ground plane the inventors provide broadband high performance antenna designs with low profile and low overall footprint.

The present invention relates to the field of array antenna design, and to a multi-port array antenna layout detection method, including: obtaining layout information of the array antenna; selecting any port of the array antenna as a target port, exciting the target port and detecting the response of each port of the array antenna under the excitation, constructing a linear equation system based on the response of each port of the array antenna under the excitation, and obtaining the scattering parameters of the target port; extracting the coefficient characteristics of the linear equation system and constructing a preconditioning operator based on the coefficient characteristics; calculating the scattering parameters of the ports in the antenna array except the target port according to the preconditioning operator; determining the isolation between the ports of the array antenna according to the scattering parameters of each port of the array antenna, and judging whether the array antenna layout design meets the standard according to the isolation between the ports of the array antenna, and obtaining the array antenna layout detection result. The present invention can improve the detection efficiency of the multi-port isolation of a large-scale array antenna.

An RF-based material detection device includes an antenna connector, a first interchangeable antenna capable of being releasably coupled to the RF-based material detection device via the antenna connector, an RF transmitter unit operably connected to the antenna connector and configured to transmit an RF signal via the first interchangeable antenna into a first material at a specific resonance frequency for the first material, and an RF receiver unit operably connected to the antenna connector and configured to receive from the first material via the first interchangeable antenna a first modified signal in response to interaction of the RF signal with the first material, wherein the first interchangeable antenna includes one or more design characteristics optimized to detect the first modified signal from the first material.

The invention discloses a link bandwidth allocation method and system for multilink aggregation of a multimodal mobile network. The method comprises the following steps: acquiring a mobile network base station, an equipment position and real-time environment data; an intelligent power control algorithm is adopted, and transmission power is dynamically adjusted according to environment data and network loads; acquiring real-time signal intensity data and historical data from the network equipment to the base station; predicting a minimum transmission point of signal transmission based on real-time and historical data; adjusting the direction and position of an antenna according to the position of the base station, and designing connection by adopting a beam forming antenna; setting a threshold value according to the real-time weather and the minimum transmission point data, and deploying a signal enhancer; according to the link bandwidth allocation method and system for multi-link aggregation of the multi-modal mobile network, the link quality is monitored in real time, the network is dynamically adjusted, the network load is balanced through an intelligent algorithm, the signal transmission environment is evaluated in combination with real-time weather data, the signal enhancer is deployed, and the signal coverage range is expanded.

The invention discloses a reflective slot antenna for RFID tag inventory, and relates to the technical field of antenna design, the slot antenna design scheme of the invention greatly enhances the directionality and signal coverage capability of the antenna through a phase control algorithm and slot arrangement optimization, and improves the signal coverage capability of the antenna through adjusting the phase difference and the slot spacing. The radiation intensity of the antenna in multiple directions is enhanced, blind areas are effectively reduced, multi-path interference is effectively identified and suppressed through a multi-path signal processing algorithm and an LMS minimum mean square error algorithm, and the antenna can automatically adjust the phase of reflection current and filter reflection signals, so that the signal quality of a complex reflection environment is guaranteed, and the signal quality is improved. In addition, an adaptive array antenna system and a beam forming technology are introduced, so that the antenna can dynamically adjust the phase and amplitude of an array unit according to real-time data fed back by the RFID tag, thereby forming a directional beam, concentrating energy to a specific direction, and improving the recognition precision in a specific area.

The invention relates to the technical field of radars, and particularly discloses a self-adaptive radar system and algorithm optimization method suitable for a complex multipath environment, and the system comprises a signal sensing module, a multipath analysis module, an antenna control module, a data processing module, a target detection module, an intelligent decision module, a system monitoring module, a communication transmission module, and a man-machine interaction module. According to the adaptive radar system suitable for the complex multipath environment and the algorithm optimization method, the multipath anti-interference capability of the radar system is remarkably improved, interference of multipath signals on the radar system is effectively reduced through innovative system architecture design, adaptive antenna design and an advanced data processing algorithm, and the system performance is improved. In addition, due to the self-adaptability and the real-time processing capability of the system, the system can quickly adapt to different multi-path environments, and stable operation in various complex scenes is ensured.

The utility model relates to a flexible wearable liquid metal antenna and wearable electronic equipment, and belongs to the technical field of wearable antennas. Comprising a dielectric substrate, a grounding metal sheet, a feed port metal sheet, a metal floor and an inverted F-shaped groove, according to the dual-band wrist type PIFA antenna, a flexible material PDMS is used as a dielectric substrate, liquid metal EGaIn is used as a radiation material, and the EGaIn is wrapped in a microfluidic channel formed by the PDMS, so that the wearable antenna working at two frequency bands of 2.4 GHz and 5.8 GHz is realized. Compared with a traditional solid metal wearable antenna, the wearable antenna designed on the basis of liquid metal can well receive signals, material fatigue or cracking cannot be caused by repeated bending, and the wearable antenna has high self-repairing capacity and has more advantages in the wearable aspect.

The invention discloses an antenna size optimization method, an antenna and a household electrical appliance product, and the method comprises the steps: carrying out the multi-time iteration of a size parameter combination of an ultrahigh frequency antenna, and evaluating the performance of the antenna corresponding to the size parameter combination obtained through each iteration through a pre-trained performance estimation model, so as to screen out the optimal antenna size of the ultrahigh frequency antenna. Electromagnetic simulation software does not need to be used in the antenna size automatic optimization process, the computing power cost and the time cost in the antenna design process are effectively reduced, and the risk of insufficient memory is reduced.

The invention discloses an ultra-wideband antenna design method and system based on deep learning and a medium, and the method comprises the steps: obtaining a design target of a target ultra-wideband antenna, and extracting structure parameters related to the antenna performance according to antenna design instance data; preparing sample data according to the structure parameters and preprocessing the sample data, building an agent model based on an NAR dynamic network in combination with a multi-layer sensor, training the agent model by using the sample data, and configuring agent model parameters; and obtaining an optimal structure parameter of the target ultra-wideband antenna by using the trained proxy model, performing simulation verification on the output optimal structure parameter, and configuring a design scheme of the target ultra-wideband antenna. According to the method, the NAR dynamic network is combined with the multi-layer perceptron to establish the proxy model, so that optimization tasks of different structural parameters can be adapted, the efficiency is improved on the premise of ensuring the performance, and the design speed and precision of the ultra-wideband antenna are improved.

The invention relates to the technical field of wireless communication and antenna design, and discloses a circularly polarized antenna based on a multi-mode frequency selective surface, an integration method and a terminal. A wave absorbing layer, a first diffuse reflection layer and a second diffuse reflection layer are sequentially integrated on the circularly polarized antenna body from top to bottom. Wherein the circularly polarized antenna body has a working frequency band, the wave absorbing layer has a wave absorbing frequency band, the first diffuse reflection layer has a first diffuse reflection frequency band, and the second diffuse reflection layer has a second diffuse reflection frequency band; the working frequency band, the wave absorbing frequency band, the first diffuse reflection frequency band and the second diffuse reflection frequency band are efficiently integrated, the requirements for high-flexibility radiation and strong electromagnetic stealth are met, and the design of the multi-mode radiation stealth integrated array antenna is achieved. According to the invention, the out-of-band radar cross section (RCS) can be efficiently suppressed while the radiation efficiency in the working band of the antenna is not influenced, and the fusion target of high-performance radiation and ultra-wideband RCS suppression stealth is fundamentally completed.

The invention relates to a microwave wireless energy transmission reflector antenna fast multi-objective optimization method comprising the following steps: establishing an MWPT system simulation model, adopting a Bernstein polynomial basis function to carry out dimension reduction processing on a decision space of an antenna, and reducing the number of decision variables; expressing the constructed MWPT system transmitting antenna optimization model as a multi-objective optimization model through a multi-objective optimization function; constructing an agent model based on Gaussian process regression GPR; a proxy model and an evolutionary strategy are integrated through a Gaussian process regression proxy model and a covariance matrix adaptive evolutionary algorithm, a non-dominated solution set is obtained through iterative optimization, and then the multi-objective design of reflector antenna aperture illumination is optimized. According to the method, three performance indexes of BCE, PRL and APC are comprehensively considered, the Bernstein polynomial basis function is adopted to carry out dimension reduction processing on the antenna design decision space, the number of antenna design decision variables is effectively reduced, the proxy model is introduced into the antenna optimization design method, and the optimization design efficiency is improved.

The present application belongs to the technical field of artificial intelligence (AI). Disclosed are an antenna design method and apparatus. The method comprises: determining design parameters of an antenna by means of a plurality of iterations, wherein an ith iteration process involves: acquiring a plurality of vectors from an optimizing space, wherein M elements in each vector are respectively used for representing M design parameters of the antenna; and inputting an input distribution of the M design parameters and the plurality of vectors into a surrogate model of Bayesian optimization (BO), so as to obtain a plurality of groups of prediction values of performance parameters of the antenna, wherein a processing process of the surrogate model includes calculating a covariance matrix of a plurality of random vectors, and a covariance between any two vectors is obtained by means of performing calculation on a sample set that is obtained by means of sampling the input distribution thereof. During a calculation process, an acceleration algorithm based on Nystrom approximation is used to reduce the complexity, so that design parameters of an antenna are quickly determined. The method can be applicable to inputting design parameters of any distribution type, and can greatly improve the inference efficiency of a design parameter optimization process.

The invention discloses an antenna structure parameter optimization method based on image translation, and the method comprises the following steps: S1, selecting a to-be-optimized structure parameter according to a basic structure of a target antenna, and determining a target electromagnetic response performance parameter; s2, performing sample generation on the selected structure parameter vector through an LHS algorithm to obtain electromagnetic response data corresponding to the structure parameter; s3, performing image data conversion on the structure parameters and the electromagnetic response data to form a data set, and training an image translation network through the data set; s4, performing image translation on the target electromagnetic response image by using the trained image translation network to obtain a corresponding structure parameter image; and S5, performing parameter extraction on the structure parameter image to obtain structure parameters of the target antenna, and completing antenna design. The method solves the problems that in the prior art, the requirement for priori knowledge of engineers is high, calculation cost and time cost are high, accuracy is insufficient, and generalization of different antenna design tasks is poor.

The invention relates to the technical field of reconfigurable communication antenna equipment, and particularly discloses a liquid crystal-based high-aperture efficiency low-profile reconfigurable folding transmission array antenna design. The invention aims to solve the problems of insufficient aperture efficiency and high profile height in the existing reconfigurable folding array. The invention designs a novel transmission unit, and the unit integrates upper and lower layers of radiation and receiving patches with a polarization selection function, and a strip line-based liquid crystal phase shifter for realizing phase compensation. In order to minimize the profile height, the main transmission array is composed of a novel transmission unit, the auxiliary reflection array adopts a polarization conversion unit, and the interaction between the main transmission array and the auxiliary reflection array is used for folding the transmission path of electromagnetic waves. Meanwhile, the microstrip patch antenna replaces a traditional horn antenna to serve as an array feed source, so that the overall profile is reduced. In order to improve the aperture efficiency, the liquid crystal phase shifter is elaborately optimized to meet the requirement of 2-bit phase quantization, so that the phase modulation precision and the accuracy of array plane phase distribution are improved. Compared with a traditional space feed antenna and a folding array, the overall outline of the design is reduced by 2 / 3, meanwhile, the aperture efficiency is remarkably improved, and excellent two-dimensional beam scanning performance is kept.

A wireless electromechanical lock with one or more of an internal antenna, touch activation, and / or a light communication device that acts as a user interface. In some embodiments, the lock utilizes an antenna near the exterior face of the lockset, designed inside the metal body of the lockset itself. A light communication device is provided in some embodiments to communicate information, visually, to the user via animations and dynamic displays of light. In some embodiments, the lockset includes a touch activation capability, which can be used to lock / unlock the lock and / or otherwise provide input.

The invention discloses a variable capacitance diode-based element grating leaky-wave antenna adjustable beam control method. The method comprises the following steps of S1, researching and analyzing a super grating beam conversion mechanism; a plane super grating mechanism under anisotropic, uniform and continuous periodic boundary conditions is researched; s2, carrying out the transmission mode and optimization design of the Floquet-Blocch theorem according to the super grating; the FB mode is researched, and a tool used for super grating parameters is designed to eliminate the bad FB mode; s3, analyzing and designing the super grating leaky-wave antenna; the analytic field and current of the synthetic super grating are researched in the leaky-wave antenna frame to customize the performance in the aspects of phase, beam shape and polarization; s4, designing and analyzing the electric tuning wave beam control super grating leaky-wave antenna; according to the variable capacitance diode-based element grating leaky-wave antenna adjustable wave beam control method, a high-efficiency structure platform which is tuned by a tunable material with a simple structure is adopted, and a road is laid for a new generation of high-efficiency special grating.

A differential feed dual-frequency dual-polarization microstrip filtering antenna comprises three layers of dielectric substrates which are arranged at intervals from top to bottom, and an octagonal annular coupling parasitic structure is loaded on the lower surface of the first layer of dielectric substrate; a rectangular radiation patch is printed on the upper surface of the second dielectric substrate and is loaded with four non-closed rectangular gaps which are distributed in a square shape and are mutually rotationally symmetrical. A cross-shaped parasitic branch knot and four L-shaped symmetrical open-circuit branch knots which are distributed in a rhombus shape and extend outwards along the diagonal direction of the rhombus are printed on the lower surface of the second dielectric substrate layer; the lower surface of the third dielectric substrate is a metal floor; the second layer of dielectric substrate and the third layer of dielectric substrate are connected through a coaxial feeder line; according to the dual-frequency dual-polarization filtering antenna, the mode of combining the differential feed technology and the microstrip antenna is adopted, the design of the dual-frequency dual-polarization filtering antenna with four radiation zero points is achieved, the antenna has good edge selectivity and good out-of-band rejection capacity, in-band gain is stable, and a directional diagram has good symmetry and directionality.

A single feed antenna design is conducted on a radiator of a specific shape (for example, a strip radiator or a slot radiator) to excite a plurality of antenna modes. For example, performing a feed design on a strip radiator may excite a CM wire antenna mode and a DM wire antenna mode. For another example, performing a feed design on a slot radiator may feed a CM slot antenna mode and a DM slot antenna mode. The antenna design may be used to cover a plurality of frequency bands when an antenna is miniaturized.

The invention discloses a machine learning-assisted metasurface loading and decoupling patch antenna design method, particularly relates to the technical field of antenna design, and solves the problem that in the prior art, a metasurface loading and decoupling patch antenna design method can only realize port decoupling but cannot realize directional diagram decoupling. And the design method needs complex theoretical analysis calculation and time-consuming parameter optimization. According to the technical scheme, a data set composed of a pixelated metasurface and electromagnetic response is used for training an agent model, and a parameter optimization algorithm is combined with the trained agent model to update parameters according to a cost function; according to the method, the problem of simultaneous decoupling of the port and the directional diagram can be solved, and complex theoretical analysis calculation and time-consuming parameter optimization can be avoided.

The invention belongs to the technical field of artificial intelligence AI, and discloses an antenna design method and device, and the method comprises the steps: determining the design parameters of an antenna through multiple iterations; the ith iteration process is as follows: obtaining a plurality of vectors from the optimization space, wherein M elements in each vector are respectively used for representing M design parameters of the antenna; inputting the input distribution of the M design parameters and the plurality of vectors into an agent model of Bayesian optimization BO to obtain a plurality of groups of predicted values of the performance parameters of the antenna; the processing process of the proxy model comprises the step of calculating a covariance matrix of a plurality of random vectors, wherein the covariance between any two vectors is obtained by calculating a sample set obtained by carrying out input distribution sampling on the vectors. In the calculation process, an acceleration algorithm based on Nystrom approximation is adopted to reduce complexity, so that design parameters of the antenna are rapidly determined. The method can be suitable for input of design parameters of any distribution type, and the reasoning efficiency of the design parameter optimization process can be greatly improved.

The invention relates to the technical field of electromagnetic simulation, in particular to a W-band antenna pointing angle simulation analysis method, which comprises the following steps: acquiring the size of a W-band antenna and the form of a radiation unit, extracting main lobe curvature and feed matching characteristics, identifying a main lobe edge interference path, and adjusting a reflection phase to form a dynamic reflectivity boundary. Dividing tetrahedron and hexahedron grids to evaluate polarization consistency, optimizing a field intensity relationship between a main lobe and a side lobe, screening an angle interval, and obtaining a directional angle correction parameter. According to the invention, the specific size and form of the antenna are acquired, the curvature distribution of the main lobe coverage area and the matching relation with the feed structure are deeply analyzed, and the reflection intensity difference between the main lobe path and the side lobe path is monitored, so that the pointing precision and the coverage efficiency of the antenna are effectively improved; according to the antenna design, the performance is ensured, the specific area can be optimized, and the predictability and the stability of the antenna performance are remarkably improved.

A vehicle includes a window having an antenna assembly. The window includes a glass surface, a metal frame around the glass surface, and a set of defroster wires in the glass surface. A top wire of the set of defroster wires is separated from a top edge of the metal frame by an antenna region. The antenna is disposed in the antenna region. The antenna has a first end and a second end opposite the first end. The first end intersects a horizontal cover line of the metal frame tangentially. A feed line connects to the first end at the horizontal cover line. A ground line electrically couples the second end of the antenna to the metal frame.

The invention relates to the field of intelligent optimization algorithms, and provides an antenna design method based on a collaborative hybrid electric eel algorithm. The method comprises three stages of interaction, rest and hunting: in the interaction stage, introducing a differential variation strategy of DE, generating a new solution in combination with a random direction vector to enhance the global search capability, and if the individual fitness is insufficient, executing random disturbance to expand the search direction; in the rest stage, a PSO speed-position updating formula is adopted, and an individual extreme value and a global extreme value are utilized to guide local fine search; in the hunting stage, a Metropolis criterion of SA is combined, an inferior solution is accepted by probability to avoid local optimum, and exploration intensity is controlled through dynamic annealing temperature. According to the algorithm, self-adaptive mode switching is achieved by dynamically adjusting an energy attenuation factor and a simulated annealing temperature, meanwhile, a boundary reflection method is adopted to ensure that a solution is in a feasible region, and stability is improved. Experiments show that SHEEA can quickly jump out of local optimum in a complex multi-peak function test, and performance indexes are remarkably improved in multi-frequency antenna design.

The invention provides a dual-band oblique polarization common-caliber array antenna based on a tight coupling effect. The dual-band oblique polarization common-caliber array antenna comprises a dielectric substrate, a low-frequency antenna, a high-frequency antenna and a metal floor which are perpendicular to one another, the low-frequency antenna comprises a low-frequency modification dipole, a low-frequency feed balun and a low-frequency metal wide-angle impedance matching layer, and the high-frequency antenna comprises a high-frequency modification dipole, a high-frequency feed balun and a high-frequency metal wide-angle impedance matching layer. The design of the common-caliber array antenna is realized in a mode that the dual-band antenna is vertically inserted and the metal floor is shared. The antenna has the advantages of ultra wide band, beam scanning and oblique polarization, and can be used for broadband radar wireless communication.