92 results about "Electromagnetic simulation" patented technology

This invention relates to a method for measuring the dielectric constant of fibers. The method includes the following steps: First, composite material and pure matrix samples are prepared, and the reflection loss curve of the composite material and the complex dielectric constant of the matrix are measured in the 1-18 GHz frequency band. Second, a realistic three-dimensional microstructure model of the composite material is reconstructed using micro-CT scanning. Then, an electromagnetic simulation model is established based on this model, and an initial complex dielectric constant is assigned to the fiber for simulation to obtain the simulated S11 parameter. Finally, by iteratively adjusting the complex dielectric constant of the fiber, the root mean square error between the simulated S11 curve and the measured reflection loss curve is minimized, thereby retrieving the actual complex dielectric constant of the fiber. This invention avoids theoretical model errors, directly correlates the macroscopic properties and microscopic parameters of materials, and has the advantages of high accuracy and wide applicability, providing a reliable parameter acquisition method for the design and optimization of the electromagnetic properties of composite materials.

This invention discloses a filter physical perception optimization method based on residual attention and transposed convolution, comprising the following steps: constructing a filter characteristic prediction surrogate model based on residual self-attention mechanism and transposed convolution decoding to establish a nonlinear mapping relationship between filter geometric parameters and electromagnetic response parameters; training the filter characteristic prediction surrogate model using an S-parameter weighted mean square error loss function to obtain a trained filter characteristic prediction surrogate model; and using a physical perception-improved differential evolution algorithm, employing the trained filter characteristic prediction surrogate model as a predictor to find the optimal combination of geometric parameters that satisfies the filter design specifications in the solution space. This method is a filter optimization design method that balances high-precision prediction and high-efficiency optimization. This method can predict the S-parameters of microwave filters more accurately than traditional neural networks, effectively replacing time-consuming full-wave electromagnetic simulation.

This invention discloses a SOC packaging processing method for millimeter-wave chips, relating to the field of millimeter-wave chip technology. The method includes the following steps: In the presence of inconsistent trend directions, a trajectory correlation mapping is performed on the trend change process at the frequency domain splicing position based on a trend semantic sequence to generate a trend trajectory mapping sequence, representing the offset path of the trend change before and after the frequency domain splicing position; based on the trend trajectory mapping sequence, trend deviation quantification processing is performed on the frequency domain splicing positions with inconsistent trend directions to form a trend deviation evolution sequence, used to determine the degree of trend deviation. This invention solves the problem that electromagnetic simulation results for millimeter-wave chip SOC packaging cannot identify and correct implicit distortions at the frequency domain splicing position due to inconsistent trend directions, achieving quantitative analysis, accurate identification, and continuous correction of trend deviations, thereby improving the accuracy and reliability of packaging performance analysis and parameter optimization.

The application discloses a micro-nano grating and photocathode collaborative design method. The method breaks the traditional isolated design, and considers the micro-nano grating and the photocathode as an organic whole, and takes the spectral response or integral quantum efficiency of the system as a whole as a target function. Specifically, the method comprises the following steps: establishing a system structure model and clearly defining an optimization target and process constraints; establishing a complex refractive index-wavelength correlation model of the photocathode to accurately obtain a complex refractive index distribution; determining a set of parameters to be optimized and setting initial values; calculating the system electric field distribution under the current parameters based on an electromagnetic simulation model; combining the electric field distribution and the photoelectric emission mechanism to calculate the spectral response of the system in the target waveband; and using a parameter optimization algorithm to iteratively search the parameter space, and outputting an optimal parameter combination. The application fully considers the electromagnetic and photoelectric coupling between the two and the actual process constraints, has the advantages of high design accuracy, strong pertinence, good implementability and the like, and can significantly improve the detection sensitivity of a weak light detection device.

The present application belongs to the field of computer aided engineering and electromagnetic simulation technology, and relates to a Step model automatic repairing and optimizing method and system for electromagnetic simulation, the method comprising: S1: analyzing the Step model and performing geometry feature extraction and defect detection based on the analysis result, and automatically identifying different electromagnetic features based on the extracted geometry features and a preset electromagnetic knowledge base; S2: according to the electromagnetic simulation requirement, different repairing strategies are adopted for intelligent repairing of different electromagnetic features to obtain a repaired model; S3: based on the simulation acceleration requirement, the repaired model is optimized to obtain an optimized model; S4: the parameters generated in the repairing and optimizing process and the optimized model are integrated and sent to electromagnetic simulation software for electromagnetic simulation. It can greatly improve the simulation preprocessing efficiency and simulation accuracy, significantly accelerate the simulation solving process, realize the standardization and knowledge sedimentation of simulation, and form a positive closed loop.

This invention belongs to the field of numerical electromagnetic field solution, specifically a mesh adaptive method based on reconstructive posterior error estimation. The invention first performs finite element modeling of the target microwave component, introducing boundary conditions and excitations to establish a corresponding electromagnetic simulation model. Then, a tetrahedral mesh is used to divide the solution domain, and finite element electromagnetic simulation analysis is performed on the model to calculate the electric field at the centroid of the four faces of the tetrahedral mesh. The least squares principle is then used to refit the electric field on the tetrahedral mesh to reconstruct a first-order linear fitting expression. Next, the reconstructed solution at the nodes is calculated using the reconstructed fitting expression, and posterior error estimation is performed based on the electric field at the nodes. Finally, the mesh is refined according to the error on the tetrahedral mesh, and finite element electromagnetic simulation analysis is performed again until the finite element solution meets the accuracy requirements. This invention has the advantages of simple engineering implementation, low computational cost, and high universality.

The invention discloses a three-dimensional FDTD metal conformal stabilization simulation method. The method comprises the steps of grid construction and boundary identification, effective electromagnetic parameter calculation, stability condition pre-verification, field quantity iteration updating and boundary condition convergence judgment. According to the method, high-precision and high-stability electromagnetic simulation of a complex medium boundary and a metal boundary is realized by combining an integral form of the effective dielectric constant and the magnetic conductivity, a posterior weighted stabilization strategy and a strict integral updating rule of the metal boundary, meanwhile, the robustness of an algorithm to a time step length is improved, and the practical application scene of the method is expanded.

The application relates to the technical field of electromagnetic simulation, and provides a time-domain electromagnetic field simulation calculation method based on GPU parallel acceleration and a corresponding product.The method comprises the following steps: setting simulation parameters; precalculating physical coordinates of all grid points, generating an observation point coordinate array and a source point coordinate array, and transmitting the arrays to GPU device memory; initializing a GPU solver, allocating GPU memory resources, and configuring a CUDA thread block and a grid structure, so that the number of threads matches the number of observation points; for each time step corresponding to a time step, source field data of the current time step is asynchronously updated into a ring buffer; when the simulation time exceeds the time required for electromagnetic waves to propagate from a source area to an observation area, a GPU kernel function without atomic operation is started, the electromagnetic field values of each observation point are calculated in parallel based on the precalculated coordinate array and the source field data in the ring buffer; and the calculation results are transmitted from the GPU device back to the host end for storage and post-processing verification.

This invention belongs to the field of computational electromagnetics numerical simulation and provides a simulation method for electromagnetic scattering of thin-coated targets based on Schur complement preconditions. First, for the IBC scattering target to be solved, equivalent surface current and equivalent surface magnetic current are introduced as independent unknowns. The electromagnetic scattering solution equation is established using SDIE and then discretized. Next, the impedance matrix is ​​decomposed into near-field and far-field matrices using an octree structure. For the near-field matrix, key operator sub-blocks are explicitly assembled and extracted. Then, approximate operators in block diagonal form and Schur complement operators are constructed and approximately inverted. Simultaneously, the diagonal product of intermediate blocks is pre-calculated and stored based on the approximate operators. Finally, the constructed preconditions are applied to the GMRES iterative solver. When the iteration error reaches the preset convergence criterion, the current and magnetic current distributions on the target surface are output. Further calculations of radiation characteristic parameters such as the target's radar cross section are then performed, achieving low-cost, high-efficiency, and easily parallelizable electromagnetic simulation solutions.

The present application relates to a kind of methods for scanning the influence of reflow ground via hole position on via hole signal quality, comprising the following steps: constructing the via hole structure model including signal via hole and at least one reflow ground via hole;Keep the center distance between reflow ground via hole and signal via hole constant, rotate reflow ground via hole around signal via hole center, define rotation angle as variable;Electromagnetic simulation obtains the index under different rotation angles of reflow ground via hole;Output the correlation between the different positions of reflow ground via hole and the quality index of via hole signal loss, realize the quantitative characterization of the influence of reflow ground via hole position on via hole signal quality under the condition of same center distance.The present application breaks through the limitation in traditional design method that only provides the center distance parameter of reflow ground via hole and signal via hole, and cannot quantify the influence of different positions on signal quality under the condition of same center distance, provides clear data for engineers in high-density layout scene, avoids the signal quality risk caused by blind design.

The application discloses an electromagnetic simulation method and system based on an arm support type engineering machine working scene, and aims at a simulated electromagnetic environment working scene, which comprises a corresponding metal structured model shell; electromagnetic interference signals in the simulated electromagnetic environment working scene are collected; feature extraction is performed according to the electromagnetic interference signals to determine electromagnetic interference source parameters; in the simulated electromagnetic environment working scene, the posture of the arm support type engineering machine is adjusted to a set posture; the electromagnetic interference source parameters are sent to an interference source terminal so that the interference source terminal emits an interference source determined by the electromagnetic interference source parameters to a specified position of the arm support type engineering machine; electromagnetic field data in the simulated electromagnetic environment working scene after the arm support type engineering machine receives the electromagnetic interference source are collected to perform simulation effect evaluation. The application can improve the electromagnetic anti-interference capability of the arm support type engineering machine through electromagnetic simulation analysis.

This invention discloses a simulation-based method and system for handling electromagnetic interference in motor controllers, belonging to the field of electromagnetic compatibility testing and simulation technology. By constructing a test environment structural model including a test bench, artificial power network, shielded cables, current probes, the motor controller body, and the motor load using an electromagnetic simulation platform, electromagnetic field simulation calculations are performed to extract structural parasitic parameters and convert them into an equivalent circuit model. The equivalent circuit model is integrated into the main circuit simulation model to form a field-circuit coupled simulation model, and preliminary conducted emission simulation results are obtained. A current probe model is established, and the transfer impedance calibration factor is calculated. The preliminary simulation results are coupled and calibrated to obtain high-precision conducted emission simulation results. Based on the calibrated simulation results, the suppression effects of different interference suppression schemes are configured and evaluated, and the optimal suppression scheme is selected. The proposed scheme significantly improves the simulation accuracy of the conducted emission current method.

The application discloses a multiple-input multiple-output antenna decoupling performance prediction method based on deep learning, belongs to the technical field of computer-aided electromagnetic system design and prediction, is used for antenna decoupling performance prediction, and comprises the following steps: determining key size parameters of an antenna to be optimized; performing parameter scanning on the variation range of the key size parameters to obtain full-band S parameter simulation data and form an original data set; the data amount of the original data set is expanded by using an SMOTE algorithm to generate an enhanced data set; an antenna decoupling performance prediction model is constructed and trained, the antenna to be optimized is input, and corresponding full-band S parameter curve final prediction results are output. The application effectively expands high-dimensional data by introducing the SMOTE algorithm, solves the problem that small sample data in the electromagnetic simulation field cannot support deep learning model training, constructs a DNN model to establish a nonlinear mapping of a continuous S parameter curve, and can comprehensively evaluate the S parameters of the antenna, instead of being limited to discrete frequency points.

This application relates to the field of electronic circuit design technology, and in particular to a PCB layout optimization method suitable for signal transmission. This method acquires manufacturer-specific process capability parameters, constructs a manufacturing disturbance model including conductor geometric deviations, dielectric non-uniformity, and interlayer alignment errors, and embeds an electromagnetic simulation engine to form a dynamic signal integrity analysis model. Based on this, an adaptive layout constraint rule set is generated, driving the layout and routing algorithm to perform manufacturing robustness-oriented automatic routing. This solves the problem of signal integrity degradation in high-speed signal links on PCBs due to manufacturing fluctuations, pre-compensating for manufacturing-introduced non-ideals during the design phase, and improving the first-pass success rate and signal performance consistency of high-speed PCBs.

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.

This invention discloses an electromagnetic simulation method based on incomplete octree strongly compatible skeleton decomposition, belonging to the field of electromagnetic simulation technology. The method of this invention discretizes the target surface into a triangular mesh, discretizes the surface integral equations, and generates a system of linear equations characterizing the relationship between the impedance matrix and the current coefficients to be solved. It constructs an incomplete octree structure based on strongly compatible skeleton decomposition, forming a multi-layer skeletonized matrix based on the incomplete octree as the impedance matrix. Solving the linear equations yields the current coefficients to be solved, and then the target surface current and the target electromagnetic properties are solved. The method of this invention has higher computational efficiency when handling electrically small models and complex multi-scale models, significantly improving the computational efficiency of the impedance matrix and the computational speed of matrix-vector multiplication operations during iteration, thus achieving rapid calculation of the target's electromagnetic properties.

The application discloses a two-bit phase control low-sidelobe super surface antenna, which comprises a rectangular patch antenna as a design principle to realize K-band electromagnetic wave radiation; a path equivalent electric length switching phase shifter and a patch current direction switching phase shifter are combined, the on-off state of a PIN diode in the phase shifter is changed, and 2bit modulation of the radiated electromagnetic wave is realized; a fan-shaped stub is added to a direct current control feeder line of the PIN diode to realize isolation between radio frequency signals and direct current signals; a phase reconfigurable antenna unit is combined with a Chebyshev unequal power distribution network to realize sidelobe suppression effect; a K-band low-sidelobe phase reconfigurable antenna model is combined, electromagnetic simulation software is used to optimize geometric parameters of the K-band low-sidelobe phase reconfigurable antenna model, and radiated electromagnetic responses of the design model are output; and overall antenna design is performed based on the designed unit model.

This application relates to the field of wireless communication technology, providing an antenna robustness design method and apparatus based on hybrid deep learning. This invention simulates manufacturing process errors by combining sampling methods within the range of process errors, obtaining design variables and... S Sensitivity analysis was performed on the Gaussian distribution curves of the statistical mapping relationship between parameter responses to identify variables more sensitive to manufacturing errors, thereby reducing the dimensionality of variables and decreasing the complexity of subsequent antenna robustness optimization. A hybrid deep learning model was used to construct an antenna response substitution model, replacing traditional electromagnetic simulation, significantly shortening the optimization cycle while ensuring the accuracy of response prediction and avoiding distortion of optimization results due to model errors. By constructing a robustness objective function and employing a genetic algorithm to optimize antenna parameter robustness, a highly robust optimal solution was found, avoiding premature convergence of the gradient method in multi-peaked environments caused by random errors.

The application relates to the technical field of time and frequency, in particular to an ion trap buffer gas parameter design method. First, simulation software is used to create an ion trap electrode array and a space potential field, initial parameters of ions and buffer gas in the ion trap are set, then a motion equation of the ions in the ion trap under the action of buffer gas viscous force is derived, a software program is written according to the motion equation to realize simulation control of the ions under the action of the buffer gas, and buffer gas parameter design is completed according to the obtained buffer gas type, buffer gas pressure and buffer gas temperature. The application adopts electromagnetic simulation software to simulate ion motion states, optimizes key buffer gas parameters, can improve the reliability of buffer gas cooling ion effect evaluation, has the characteristics of intuitive ion motion states and high buffer gas parameter optimization efficiency, and can be used for ion and gas molecule action state analysis and parameter optimization.

The application relates to an electromagnetic simulation grid generation method and device and an electronic device, wherein the electromagnetic simulation grid generation method comprises the following steps: cutting a GDSII layout file according to a process technology file to generate a two-dimensional layout file; stretching the two-dimensional layout file according to the process technology file to generate a three-dimensional geometric model, and establishing a mapping relationship between a two-dimensional graph and a three-dimensional entity; wherein the two-dimensional graph contains a graphic label added for a target object; determining a target three-dimensional entity corresponding to the graphic label of the target object according to a netlist file in combination with the mapping relationship, and creating a port surface at an endpoint of the target three-dimensional entity; constructing an air box surrounding the three-dimensional geometric model; adding an electromagnetic grid to a region represented by each three-dimensional entity, the port surface and an air domain of the air box of the three-dimensional geometric model to generate an electromagnetic simulation grid file, so as to solve the problem of too much manual intervention in the conversion process from a GDSII layout to a simulation grid.

This invention discloses a knowledge graph-based method for generating macro scripts for striped tube simulation and related products, belonging to the field of electromagnetic simulation automation technology. The knowledge graph-based method for generating macro scripts for striped tube simulation provided by this invention constructs a directed knowledge graph containing directed associations representing the calling order constraints between nodes. This allows simulation knowledge to go beyond semantic associations and possess explicit topological dependency logic. After retrieving the target constraint path, the extracted nodes are sorted according to the directed associations to form constraint prompts that conform to the calling order. This minimizes the probability of missing preliminary steps and incorrect method calling order, thereby guiding a pre-set large language model to generate executable electromagnetic simulation macro scripts with correct calling order and complete configuration chains. This improves the reliability, engineering applicability, and actual execution stability of macro script generation in simulation tasks.

This invention discloses a reconfigurable absorbing metasurface based on heterogeneous absorbing units using a tenon-and-mortise interlocking structure, and its configuration method, belonging to the field of electromagnetic wave absorption and metasurface structure technology. The metasurface is formed by assembling multiple lightweight absorbing units through a tenon-and-mortise interlocking structure. The absorbing units use melamine foam, PMI foam, polyurethane foam, or aerogel porous framework materials as the matrix, and are loaded with absorbing components such as graphene, carbon nanotubes, MXene, ferrite particles, carbonyl iron particles, or conductive polymers. The tenon-and-mortise connection structure has multiple levels of insertion positions and limiting structures, allowing adjacent units to form different insertion states, thereby adjusting the unit spacing, air layer thickness, array period, and equivalent electromagnetic parameters, achieving reconfigurable control of the absorption frequency band and response characteristics. Furthermore, heterogeneous absorbing units with different geometries and absorption parameters can be optimized through parametric design and electromagnetic simulation to form planar or curved broadband absorbing structures. This invention combines the advantages of lightweight, modularity, detachability, surface adaptability, and wideband absorption, and can be applied to fields such as electromagnetic stealth, radar absorption, electromagnetic protection, and complex curved electronic equipment.

This invention relates to the field of electromagnetic simulation technology, and in particular to a PINN method integrated with dielectric electromagnetic boundary conditions, used to solve electromagnetic field simulation problems involving multiple dielectrics, high contrast, and fine geometries in nanophotonics and optoelectronic device design. By explicitly embedding the frequency-domain Maxwell's equations, external boundary conditions, and dielectric interface continuity conditions into the PINN loss function system, a multi-objective optimization framework is constructed, including partial differential equation residuals, boundary condition residuals, and interface physical constraint residuals. Combined with a multi-subdomain network design strategy and dynamic sampling methods, accurate modeling of complex dielectric interfaces and high-contrast electromagnetic fields is achieved. Compared with traditional numerical methods, this invention significantly improves simulation efficiency and accuracy, and supports multi-scale coupled solutions using PINN and traditional mesh methods, making it suitable for fields such as micro / nano optical device design and electromagnetic scattering analysis.

This invention discloses a multi-feature adaptive mesh generation method based on GPU-accelerated multi-scale FDTD. By constructing a two-layer feature representation framework and combining it with GPU-accelerated BVH ray tracing technology, this invention can intelligently identify key electromagnetic regions and achieve adaptive mesh refinement. Compared with existing uniform mesh methods, while maintaining high-fidelity simulation accuracy, it can significantly reduce the number of meshes by 33% to 51% and reduce computation time by 52% to 70.1%. Simultaneously, a four-stage spatial connectivity algorithm ensures the robustness and numerical stability of non-uniform meshes, effectively avoiding numerical reflections caused by mesh abrupt changes, and solving the problem of balancing efficiency and accuracy in electromagnetic simulation of complex industrial models.

The present application belongs to the technical field of electromagnetic simulation, and specifically provides a residual error estimation non-conformal adaptive encryption volume integral equation electromagnetic simulation method to complete high-precision and high-efficiency electromagnetic simulation of complex multi-scale non-uniform targets. The present application proposes a grid error estimator for volume integral equations, performs error analysis on each tetrahedral grid to obtain error distribution of the grid; then sets an error percentage threshold, selects the grid with the largest error according to the error percentage threshold to mark, and performs non-conformal bisection encryption on the marked grid, thereby completing non-conformal adaptive encryption based on grid error. On the premise of increasing a small amount of calculation unknowns, the grid quality is greatly improved, and the calculation precision and calculation efficiency of electromagnetic simulation are improved. In summary, the present application proposes a residual error estimation non-conformal adaptive encryption volume integral equation electromagnetic simulation method, which is especially suitable for electromagnetic characteristic calculation of complex multi-scale non-uniform targets.

This invention relates to a time-domain electromagnetic simulation method based on Tree-Cotree decomposition and a hybrid DG-FE / SE domain decomposition. The method includes: dividing the computational domain into a tetrahedral finite element subdomain and a hexahedral spectral element subdomain according to geometric dimensions and electromagnetic properties; constructing a minimum spanning tree and cotree based on mesh edges to apply Gaussian divergence constraints; discretizing both the finite element and spectral element regions using scalar and vector basis functions to obtain Galerkin weak solutions; uniformly processing the interface between the finite element and spectral element subdomains using a topology identification-polygon decomposition-Gaussian integration method, and combining this with upwind flux to achieve continuous field transfer; assembling the spatial discretization matrix of the Galerkin weak solutions, and completing time propagation using an explicit fourth-order Runge-Kutta scheme. Compared with existing technologies, this invention systematically eliminates the low-frequency collapse problem, ensures the non-singularity of the system matrix, and guarantees solution accuracy and efficiency.

This invention belongs to the field of electromagnetic simulation design, specifically a method for HFSS mesh format conversion. Addressing the challenges of complex HFSS proprietary mesh data structures, closed formats, and a lack of public interfaces, this invention proposes a systematic analytical and reconstruction method. This method achieves complete extraction and accurate mapping of mesh topological relationships, material properties, and boundary features. While maintaining the geometric accuracy and topological consistency of the original mesh, it efficiently and accurately converts proprietary format data into standardized, universal mesh format files. This effectively breaks down data barriers between different simulation software, constructing a unified data representation system that can be shared across solution platforms. This provides a unified and reliable mesh data foundation for cross-platform simulation verification, multi-tool result comparison, and multi-physics collaborative analysis.

The application provides an unmanned aerial vehicle ground penetrating radar disease data enhancement method and system based on electromagnetic simulation, belongs to the technical field of unmanned aerial vehicle ground penetrating radar signal processing and the technical field of data enhancement processing, and comprises the following steps: S1. data acquisition and standardized pretreatment; S2. electromagnetic intrinsic parameter extraction and benchmark feature library construction; S3. three-dimensional coupled electromagnetic simulation domain customization construction; S4. underground disease target electromagnetic form shaping and initial simulation sample generation; S5. simulation sample feature calibration; S6. hierarchical multi-physical field perturbation parameter set iterative loading and expanded sample generation; S7. sample consistency verification and distortion correction; S8. heterogeneous data alignment and standardized underground disease augmented data set output. The application realizes high-fidelity, diversified and physically compliant augmentation of ground disease radar echo data, and provides reliable data support for intelligent recognition of unmanned aerial vehicle ground penetrating radar underground diseases.

The application discloses a foil screen and a millimeter wave radiation image combined simulation method for detecting a target, and belongs to the technical field of electromagnetic simulation. The application aims at the problem that the size and shape of a foil screen model cannot be adaptively changed in traditional geometric model establishment, and first establishes a three-dimensional physical model of the foil screen and the detecting target, and further obtains node numbers and node coordinates of each foil screen panel and the detecting target panel through panel division. Then, the foil screen panel and the detecting target panel are combined, the differences between the brightness temperature calculation methods and the ray tracing processes of the two are fully considered, and the combined simulation of the millimeter wave radiation images of the foil screen and the detecting target is realized. Through the combined simulation of the millimeter wave radiation images of the foil screen and the detecting target, the interaction of the millimeter wave radiation of the two is researched, the influence of the foil screen on the millimeter wave radiation detection of the detecting target is analyzed, and a basis is provided for the detection of the detecting target.