Pattern Synthesis Method for Constrained Metasurface Generation Driven by Near-Field Matching Factor
By transforming the design of a constrained metasurface antenna into a cross-correlation matching problem between a near-field equivalent source and a far-field target, the problems of solving the inverse problem being free from physical constraints and the high cost of global optimization algorithms are solved, thus achieving flexible and fast beamforming and improved engineering feasibility.
CN122316397APending Publication Date: 2026-06-30UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- UNIV OF ELECTRONICS SCI & TECH OF CHINA
- Filing Date
- 2026-03-25
- Publication Date
- 2026-06-30
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Figure CN122316397A_ABST
Abstract
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.
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