39 results about "Pattern synthesis" patented technology

The invention belongs to the technical field of wireless communication and antennas, and particularly relates to a phased array antenna pattern synthesis method and system based on a graph neural network, array element parameters and environmental parameters are converted into a graph node and edge feature matrix, and array element excitation parameters are optimized by using a multilayer graph attention network; according to the method, energy conservation and array element spacing constraint are ensured through a physical constraint module, and the performance of a directional diagram is verified and iteratively optimized through a fast moment method; under the 1024 array element scene, the calculation efficiency is greatly improved, second-level optimization is achieved, and meanwhile, the system has the dynamic self-adaptive capacity, array element faults and carrier deformation can be responded in real time, and the optimized directional diagram performance can be kept; according to the technical progress, the calculation efficiency is improved, the stability and adaptability of the system are enhanced, and an innovative solution is brought to the technical field of wireless communication and antennas.

Examples disclosed herein relate to a reflectarray panel for near-field wireless communication coverage area and designing the reflectarray panel. The method includes one or more following steps, including, determining a near field coverage area of the reflectarray panel, calculating a tangential reflected field on a reflectarray surface of the reflectarray panel based at least on a feed location and initial geometric parameters of the reflectarray surface, determining radiation pattern specifications with an incident beam pointed toward a center of the near field coverage area, performing a near-field pattern synthesis algorithm on an initial phase distribution of the reflectarray panel, determining a synthesized phase distribution on the reflectarray surface from a result of performing the near-field pattern synthesis algorithm, adjusting one or more geometric parameters of each reflectarray cell of the reflectarray panel to produce the synthesized phase distribution, and / or determining dimensions of the reflectarray panel for manufacturing.

The invention discloses a manifold optimization transmitting directional diagram synthesis method for an analog digital hybrid array. According to the manifold optimization transmitting directional diagram synthesis method for the analog digital hybrid array, the HAD array transmitting directional diagram synthesis problem with the criterion of minimizing the matching error between an expected beam directional diagram and an actual beam directional diagram is researched. According to the method, the solution is carried out by utilizing block coordinate descent (BCD) and Riemannian manifold optimization. Firstly, a constant modulus auxiliary variable is introduced to equivalently represent that an objective function is a smooth biquadratic function; then, alternately optimizing a scaling factor, a digital weight, a simulation weight and a constant modulus auxiliary variable under a BCD framework, reexpressing the simulation weight and the auxiliary variable as a quadratic programming problem under constant modulus constraint, and solving through a Riemannian gradient descent method; the globally optimal solution of the digital weight is obtained through a Lagrange multiplier method. A numerical result shows that compared with other representative algorithms, the algorithm provided by the invention has better beam matching performance.

The invention discloses a phase-only array wide main lobe transmitting power pattern synthesis method based on rank-one matrix optimization, which comprises the following steps of: constructing a wide beam power pattern synthesis problem model of minimum power gain in a maximum main lobe region, an objective function in the wide-beam power pattern synthesis problem model is a maximum and minimum fraction objective function; introducing a first auxiliary variable, and converting a maximum and minimum fraction objective function form into a maximum and minimum integer objective function form by using generalized fraction programming; and introducing a second auxiliary variable to equivalently represent the problem of maximization and minimization as a minimization form, and solving by using an equivalent rank-one method, a continuous convex approximation method and a penalty method to obtain an optimal phase-only emission weight.

The invention relates to the technical field of array radiation pattern synthesis, in particular to a linear array radiation pattern synthesis method and system based on hybrid optimization. The method comprises the following steps: obtaining dipole array optimization parameter data; initializing an array parameter and an FGO population according to the acquired data; constructing a KAN proxy model and training the model by using an FGO population; performing hybrid iterative optimization on the KAN proxy model fused with the FGO; and performing array antenna pattern synthesis by using the optimized KAN proxy model. According to the probability hybrid evaluation strategy based on the KAN proxy model, through the whole FGO iteration process, low-potential candidate solutions are effectively screened out by dynamically allocating accurate electromagnetic simulation resources (such as high-proportion proxy evaluation in the initial stage and gradually-increased accurate verification in the later stage), and the calling frequency of a high-cost moment method is remarkably reduced.

The fast null directional diagram synthesis method is suitable for suppression of interference of an aerial carrier radar to a target object, the radar comprises array plane coordinates, and the method comprises the steps that S101, an array plane steering vector model # imgabs0 # is determined according to the array plane coordinates, S102, an optimization model P1 is constructed according to the array plane steering vector model and array element excitation w0 pointed by a current main wave beam of the radar, and the optimization model P2 is constructed according to the array element excitation w0 pointed by the current main wave beam of the radar; determining a target function according to the optimization model P1; and S103, determining an optimal weight value wopt according to the target function. While the precision and the accuracy are met, the calculation time consumption can be shortened, and the hardware cost can be reduced.

The application provides a movable antenna array pattern synthesis method based on an improved fish eagle optimization algorithm, converts antenna positions and antenna weights into a joint variable vector, improves an update strategy on the basis of an original fish eagle optimization algorithm, introduces global search exploration based on levy flight in a first stage, and adds an adaptive probability mechanism to dynamically guide a search scheme for selecting between a global optimal value and a same-generation optimal value to strengthen exploration diversity, adopts Gaussian disturbance in a second stage to perform local fine exploration and dynamically attenuate an update step to further optimize a solution in the first stage, prevent premature convergence, and be applied to a pattern synthesis problem in a movable antenna array, consider engineering practical constraints such as a minimum spacing between antenna arrays and a maximum aperture range, and can effectively realize target enhancement, interference suppression and various practical application scenarios such as a shaped beam.

This invention provides a beamformer-based feed design method. By utilizing a pattern synthesis method based on Fourier transform, the excitation amplitude and phase of each array element are obtained through inverse synthesis. The obtained excitation amplitude and phase of each array element are then assigned to that element. Full-wave simulation of the array is performed in electromagnetic simulation software to obtain the array's radiation pattern, which is compared with the desired feed radiation pattern. If deviations exist, the excitation amplitude and phase can be adjusted until the overlap with the desired feed radiation pattern reaches the target. This invention achieves nearly 90% efficiency after illuminating the reflector, far exceeding the efficiency of conventional feeds illuminating reflectors. Furthermore, different excitation coefficients can be flexibly constructed for different frequencies, achieving high-precision approximation of the ideal delta function across a wide frequency range. Higher gain can be obtained with the same aperture, or the aperture size of the reflector antenna can be reduced with the same gain requirements. This significantly improves system performance and reliability.

The present invention provides a fast array antenna pattern synthesis method based on a new optimization problem, which relates to the field of array antennas. By introducing the phase of the desired radiation field as a design variable, a new optimization problem for the array antenna pattern is constructed; the design variable is initialized; L-BFGS-B is used to find the local optimal solution for the new optimization problem; it is judged whether the optimal solution satisfies the termination condition. If so, the local optimal phase is output to obtain the corresponding array antenna pattern. If not, the iteration continues until a satisfactory array antenna pattern is obtained. The beneficial effects of the present invention are as follows: greatly reducing the dimension of the design variables in the array antenna, reducing the computational complexity, and improving the calculation speed of the array antenna pattern synthesis problem.

The application discloses a low sidelobe pattern synthesis method, device and equipment and a storage medium, relates to the technical field of antennas, and comprises the following steps: simplifying an array factor response expression according to the structural symmetry of an antenna array to be optimized and representing the array factor response expression in a vector form; taking the maximum simplified array factor response on discrete sampling points in a sidelobe region as an optimization target, taking the initial upper limit and lower limit of the main lobe gain and the element weight value of the antenna array to be optimized as constraints, and modeling the low sidelobe pattern synthesis problem as a linear programming problem; solving the linear programming problem to obtain optimized element weight values and corresponding array factor patterns; if the system EIRP or G / T value does not satisfy the corresponding set value, adjusting the initial upper limit and lower limit of the element weight value, and solving the linear programming problem again. The application reduces the optimization variable dimension and the constraint number of the convex optimization problem, and greatly improves the operation efficiency under the condition of global optimization.

A system for delivering neurostimulation may include a programming control circuit configured to generate information for programming a stimulation device to control the delivery of the neurostimulation according to a neurostimulation program including a discrete dynamic pattern defined by stimulation parameters including at least one time-varying stimulation parameter. The system may also include a stimulation programming circuit configured to determine the neurostimulation program and including a dynamic pattern composer configured to determine the discrete dynamic pattern. The dynamic pattern composer may include a modulation function generator and a parameter modulator. The modulation function generator may be configured to receive discretization information and to determine a discretized modulation function using the received discretization information. The parameter modulator may be configured to select a stimulation parameter and to produce the at least one time-varying stimulation parameter by modulating the selected parameter using the discretized modulation function.

This invention proposes a method and apparatus for synthesizing array radar radiation patterns using space-time joint modulation. The method includes: determining initial values ​​of the array radar element excitation coefficients; acquiring the array far-field radiation pattern under the influence of the initial values ​​of the element excitation coefficients; dividing the array far-field radiation pattern into main lobe and side lobe regions based on its characteristics; setting the random modulation phase of the main lobe region to zero, maintaining the same main lobe phase across different pulses, while modulating the phase of the side lobe region regularly or randomly, while keeping the array far-field radiation pattern amplitude constant, thus obtaining array radiation patterns with different phase characteristics under multiple pulses; performing Fourier transforms on the array radiation patterns under different pulses to obtain the space-time two-dimensional element excitation coefficients; and applying the space-time two-dimensional element excitation coefficients to the array radar system to synthesize the array radar radiation pattern after space-time joint modulation. This invention significantly improves the array radar's resistance to sidelobe clutter and interference.

The invention discloses a frequency-invariant broadband shaping directional diagram synthesis method based on a superposition principle, and relates to the field of array signal processing. The method comprises the following steps: firstly, based on a Taylor weighted directional diagram comprehensive method and a superposition principle, obtaining an array excitation vector under each sampling frequency point on the premise of giving an expected directional diagram; and then, solving an FIR filter coefficient according to the obtained array element excitation corresponding to each frequency sampling point. And finally, constructing a filter according to the FIR filter coefficient to obtain an expected broadband array directional diagram comprehensive result. The invention provides a full analytical expression of the finite impulse response (FIR) filter coefficient during synthesis of the broadband directional diagram, solves the problem that the calculation amount is large due to the fact that an optimization algorithm needs to be used for iterative solution for multiple times when the FIR coefficient is calculated by the existing method, and has real-time synthesis capability and engineering application significance.

The invention discloses an antenna pattern comprehensive platform and method based on adaptive training. The platform comprises an antenna array plane, a display control module and a signal acquisition and processing module. Wherein the display control module can control the darkroom turntable, the display control module is integrated with an optimization algorithm module, the signal processing module transmits a test result to the display control module in real time, and the optimization algorithm module optimizes and generates a new feed amplitude phase weight according to the test result. The new feed amplitude and phase weight is issued to the signal processing module through the display control module for beam forming of antenna array surface testing, one-time optimization iteration is completed, the optimized testing result is fed back to the optimization algorithm module, and a new generation of feed weight is obtained through optimization for testing until the optimization target or the upper limit of the number of iterations is achieved. According to the method, the antenna pattern data is acquired online in real time, the technology is optimized in real time, the links of calibration, manual parameter adjustment and the like are avoided, and high-performance and high-efficiency antenna array synthesis is realized.

The invention discloses a pure phase array directional diagram synthesis method and system based on an improved bat algorithm. According to the scheme, an array model constructed by a plurality of antenna units is set; constructing an optimization objective function of the array model; the objective function is minimized according to a bat algorithm, and optimization training of the array model is completed; and according to the array model obtained through optimization, pure phase array pattern synthesis is carried out. According to the embodiment of the invention, an initial phase distribution is created by using a parabolic function aiming at pure phase symmetrical directional diagram synthesis, the distribution has the characteristic of being approximate to a flat-topped mode, so that the optimization process is accelerated, in addition, excitation distribution is expressed in a polynomial form, the optimization problem is converted into optimization of polynomial coefficients, and the optimization efficiency is improved. Therefore, antenna pattern integration is realized, and the method can be widely applied to the technical field of computers.

This invention discloses a pattern synthesis method for constrained metasurface generation driven by near-field and far-field matching factors, belonging to the field of wireless communication and microwave antenna technology. This invention transforms the metasurface beam synthesis problem into a cross-correlation matching problem between a near-field equivalent source and a far-field target. It constructs a core design framework for constrained metasurface generation driven by matching factors calculated from the target pattern and the near field. Utilizing the electromagnetic reciprocity principle, it transforms the complex non-convex inverse design problem into a physically clear power matching problem. By quantifying the field-source matching degree of the local near field to the target far field and allocating amplitude coupling resources, it pre-constrains physical and manufacturing processes. Under the condition of only limited amplitude adjustment degrees of freedom, it efficiently and accurately generates physically realizable metasurface structures. This invention effectively solves the problems of post-mapping distortion in holographic methods and poor convergence of optimization algorithms, significantly shortens the R&D cycle of metasurface antennas, and lowers the implementation threshold, possessing significant meaning and value.

This invention discloses a fast method for generating broadband null patterns, belonging to the field of array signal processing. First, the invention constructs an objective function and its constraints based on the pointing of the main lobe and nulls of the pattern. After converting this function into a Lagrangian function, its extreme points are solved to obtain the analytical expression of the array excitation vector at each sampling frequency. Next, the FIR filter coefficients are solved based on the element excitations corresponding to each frequency sampling point. Finally, a filter is constructed based on the FIR filter coefficients to obtain the desired broadband array pattern synthesis result. This invention provides a fully analytical expression for generating null pattern element excitations, solving the problem of large computational load and long processing time caused by multiple iterations of optimization algorithms in existing methods. It possesses real-time synthesis capabilities and has engineering application significance.

The application discloses a pure phase array pattern synthesis method and system based on an improved bat algorithm, which comprises the following steps: setting an array model constructed by a plurality of antenna units; constructing an optimization objective function of the array model; minimizing the objective function according to a bat algorithm to complete optimization training of the array model; and performing pure phase array pattern synthesis according to the optimized array model. The embodiment of the application is aimed at pure phase symmetric pattern synthesis, an initial phase distribution is created by using a parabolic function, the distribution has the characteristic of an approximately flat-top mode, thereby accelerating the optimization process, in addition, the excitation distribution is expressed in a polynomial form, the optimization problem is converted into optimization of polynomial coefficients, thereby realizing antenna pattern synthesis, and the application can be widely applied to the technical field of computers.

The present invention discloses a design method for sparse array antennas based on an improved pelican optimization algorithm, including: using the improved POA to obtain the optimal solution of the array antenna pattern synthesis design model under the design objective. By leveraging the advantages of the triangular walk strategy in balancing global and local searches, after the stage of moving towards the prey (exploration stage) and the stage of spreading wings on the water (exploitation stage) of the POA, the triangular walk strategy is added, so that after the exploitation stage, the triangular walk strategy is used to recreate an exploitation stage, which can effectively solve the imbalance problem between exploration and exploitation, improve the local search accuracy of the algorithm, jump out of the local optimum, and at the same time accelerate the convergence speed to find the best solution. The design method of the present invention can effectively suppress the sidelobe level of the sparse antenna array without broadening the main lobe width, and form deep nulls in the specified position direction to achieve the required array antenna pattern.

The invention provides a mobile antenna array directional diagram synthesis method based on an improved eagle optimization algorithm, which comprises the following steps: converting an antenna position and an antenna weight into a joint variable vector, carrying out updating strategy improvement on the basis of an original eagle optimization algorithm, introducing global search exploration based on level flight in a first stage, and carrying out global search exploration based on level flight in a second stage; in the second stage, Gaussian disturbance is adopted to carry out local refined exploration, and the updating step length of dynamic attenuation is adopted to further optimize the solution in the first stage, so that premature convergence is prevented; the method is applied to a directional diagram synthesis problem in a movable antenna array, engineering practical constraints such as the minimum distance between the antenna arrays and the maximum aperture range are considered, and practical application scenes such as target enhancement, interference suppression and various shaped beams can be effectively realized.

The application provides a sparse antenna pattern synthesis method based on an improved white shark algorithm, and belongs to the technical field of radio frequency antennas. The method is mainly used for solving the problem that an intelligent optimization algorithm is prone to falling into local optimization and slow convergence in a sparse antenna sidelobe suppression process, thereby reducing the sidelobe suppression capability of the sparse antenna. The application is based on the white shark algorithm, and a population partition strategy and an adaptive parameter are added in the algorithm. The white shark position is brought into the fitness function value for calculation, the white shark is divided into subpopulations according to the size of the fitness function value of the white shark individual and the size of the fitness value change between two times of iteration, and different search modes are used in different subpopulations. An adaptive function is added in the search, and the search radius changes with the change of the iteration number. The method has the global search capability and fast convergence, and improves the sidelobe and main lobe suppression capability of the sparse antenna.

The invention provides a directional diagram synthesis method for a multimode orbital angular momentum array antenna, and relates to the technical field of multimode orbital angular momentum array antennae, and the method comprises the steps: constructing a concentric ring array, and determining a first array factor of the concentric ring array based on a radiation directional diagram function of multilayer nested concentric rings; applying a Bessel function theory to derive a second matrix factor in an integral form; obtaining a third array factor by using the central axis rotation symmetry of the concentric circular ring array and the angular symmetry of the array factors; equivalently converting the third array factor into a linear array model with a Bessel function factor, and exporting a corresponding equivalent linear array factor expression; by setting constraint conditions and using Matlab and a convex optimization solution program cvx for solution, the optimized excitation weight is applied to the first array factor to obtain a final required power directional diagram. The method has good adaptability to a large-scale array, simplifies a two-dimensional array to be synthesized into a one-dimensional problem, and has the advantages of being low in calculation complexity and high in speed.

Big Data Pattern Synthesis Computer Device Using Generative AI

The invention discloses a comprehensive excitation dynamic range optimization method for a sparse array forming directional diagram, and belongs to the field of array signal processing. The method comprises the following steps: firstly, establishing a model of an excitation dynamic range optimization algorithm integrated with a sparse array forming directional diagram, simultaneously optimizing the sparseness and non-zero minimum amplitude of excitation by taking total transmitting power as a target function, limiting the sparseness and dynamic range of the excitation by using a 0 / 1-like constraint, and limiting the response of the directional diagram by using a shape template; and then solving the model by using an alternating direction multiplier method to obtain a sparse excitation vector with a limited dynamic range. According to the method, the sparseness and the non-zero minimum amplitude of the excitation are optimized at the same time by taking the total transmitting power as a target function, the sparseness and the dynamic range of the excitation are limited by using the 0 / 1-like constraint, and the problem that the sparseness and the dynamic range of the excitation cannot be automatically optimized at the same time in the existing method is solved.

A system for delivering neurostimulation may include a programming control circuit configured to generate information for programming a stimulation device to control the delivery of the neurostimulation according to a neurostimulation program including a discrete dynamic pattern defined by stimulation parameters including at least one time-varying stimulation parameter. The system may also include a stimulation programming circuit configured to determine the neurostimulation program and including a dynamic pattern composer configured to determine the discrete dynamic pattern. The dynamic pattern composer may include a modulation function generator and a parameter modulator. The modulation function generator may be configured to receive discretization information and to determine a discretized modulation function using the received discretization information. The parameter modulator may be configured to select a stimulation parameter and to produce the at least one time-varying stimulation parameter by modulating the selected parameter using the discretized modulation function.

The application provides a binary snake optimization algorithm-based antenna sparse array design method, and belongs to the field of antenna array pattern synthesis. The application is based on a snake optimization algorithm, a probability estimation model is added in the algorithm, a new binary coding snake optimization algorithm is provided, and the new binary coding snake optimization algorithm is applied to a sparse planar array layout optimization problem. The new probability estimation model can better map the slight change caused by the update function in the algorithm to the binary coding, maintain the diversity of the population, enhance the global search ability, and also reserve the exploration and development ability of the original algorithm. The method has the global search ability and fast convergence, and improves the sidelobe suppression ability of the sparse antenna.

The present invention discloses a method for synthesizing a wide mainlobe transmission power pattern of a phase-only array based on rank-one matrix optimization, comprising: constructing a wide beam power pattern synthesis problem model of minimum power gain in a maximum mainlobe region, wherein the objective function in the wide beam power pattern synthesis problem model is a maximum minimization fractional objective function; introducing a first auxiliary variable, and using generalized fractional programming to convert the maximum minimization fractional objective function form into a maximum minimization integer objective function form; introducing a second auxiliary variable to equivalently express the maximum minimization problem in a minimization form, and solving it using an equivalent rank-one method, a continuous convex approximation and a penalty method to obtain an optimal phase-only transmission weight.

The application discloses a time-varying modulation opportunity array radar pattern synthesis method and belongs to the opportunity array radar field. The method comprises the following steps: constructing an opportunity array radar array pattern target function with the minimum side lobe peak level and first-order sideband level as the target, constructing a fuzzy opportunity constraint condition with a subarray position state, a subarray quantity and an array element time sequence in each subarray, obtaining a fuzzy opportunity constraint programming model of the opportunity array radar pattern synthesis, and optimizing and solving the fuzzy opportunity constraint programming model based on an adaptive differential evolution algorithm under the chaos elite and center guide thought to obtain the best array element switch time sequence and position. The trapezoidal pulse modulation is adopted in the application, and compared with the traditional rectangular pulse, the frequency spectrum energy distribution is more efficient; and through the fuzzy opportunity constraint programming model, the direction pattern synthesis can be completed by using 30%-70% of the subarray quantity in the confidence water time, and resource waste is reduced.

The application relates to a dual-polarized pattern synthesis method, device and equipment based on a polarization coding array, which comprises the following steps: dividing the main lobe area and the side lobe area of a full-array pattern corresponding to the array aperture size and the array element grid data of an antenna under the given beam pointing direction; performing dimension reduction processing on a horizontal polarization coding matrix and a vertical polarization coding matrix obtained by modeling to obtain corresponding polarization coding vectors; under the constraint of the center symmetry principle, establishing a target function with the half-array polarization coding vectors corresponding to the horizontal polarization coding vectors or the vertical polarization coding vectors as variables and the peak side lobe level of the horizontal polarization pattern or the peak side lobe level of the vertical horizontal polarization pattern as the target function; solving the target function by using a genetic algorithm to obtain the optimal solution of the half-array polarization coding vectors; and transforming the optimal solution according to the center symmetry complement to obtain a dual-polarized pattern synthesis result. The dual-polarized pattern obtained by using the method has good low side lobe performance.

The application discloses a high-robustness singularity realization method in a single electronic resonator, and comprises the following steps: step one, time-reversal symmetry construction and mode synthesis, injecting a stable external signal into a single resonator, generating a synthetic mode by four-wave mixing, and forming time-reversal symmetry with an inherent mode; step two, establishing a system Hamiltonian, and fixing system eigenvalues at a stable injection frequency ω AWG Only ω1 is left as a sensing degree of freedom, step three, sensing measurement verification, an electronic resonator, an arbitrary signal generator and a coupling resistor R c An electronic circuit is composed, step four, a nonlinear bifurcation model, based on a nonlinear model P NL (t) analyzes bifurcation behavior; the application realizes high-robustness singularity in a single electronic resonator structure combined with a four-wave mixing mechanism without physical coupling, an artificial mode is synthesized by injecting an external stable signal, time-reversal symmetry is constructed, and system eigenvalues are anchored to an external frequency.