Intelligent Metasurface Topology Structure Design Method, Device, Equipment and Medium
The method optimizes the topology of intelligent metamaterial surfaces using a multi-port network and optimization algorithms to minimize design area and patch count, addressing the complexity and cost issues in existing design methods.
CN120012707BActive Publication Date: 2025-07-15GUANGZHOU UNIVERSITY
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Patent Information
- Application Number
- CN202510462767.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-14
- Publication Date
- 2025-07-15
- Estimated Expiration
- 2045-04-14
AI Technical Summary
Technical Problem
The prior art is difficult to achieve accurate physical models and reduce the cost of electromagnetic simulation when designing miniaturized intelligent metasurfaces, resulting in complex and high cost.
Method used
By establishing an initial model of intelligent metasurface units, using a multi-port network to build a reflection coefficient model, combining optimization algorithms to screen the topology, optimizing the number and location of discrete patches, and building an objective function to achieve miniaturized design.
Benefits of technology
Without affecting the working effect, reduce the number of surface patches of intelligent metasurface units, reduce the cost of design space, and shorten the design cycle.
✦ Generated by Eureka AI based on patent content.
Abstract
The intelligent metasurface topology design method, device, equipment and medium provided by the present invention include: establishing an initial model of an intelligent metasurface unit; adding a plurality of discrete patches on the metal patch layer to establish a reflection coefficient model of the initial model of the intelligent metasurface unit; starting from the maximum number of rows and columns, reducing the number of rows or columns in turn to construct different topologies; constructing an objective function based on the reflection coefficient and using an optimization algorithm to screen the topologies, and judging whether the optimized objective function of each topology meets the design requirements until the topology with the smallest design area is obtained; using the optimized objective function combined with the number of discrete patches in the topology to optimize the topology with the smallest design area; removing the unconnected discrete patches and adjusting the positional relationship between the patches to obtain the intelligent metasurface unit. The present invention can adaptively miniaturize the intelligent metasurface unit without affecting the working effect.
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