X-band broadband high-gain radar metasurface antenna and design method thereof
By introducing embedded parasitic stubs, central forked slots, and asymmetric chamfer structures into the X-band metasurface antenna, and combining it with the DeepONet operator learning design method, a broadband high-gain radar metasurface antenna was realized. This solved the problems of broadband, high gain, and high radiation efficiency in the existing technology, and improved design efficiency and accuracy.
Patent Information
- Application Number
- CN202611089647.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-07-22
- Publication Date
- 2026-08-18
- Estimated Expiration
- 2046-07-22
AI Technical Summary
Existing X-band metasurface antennas struggle to simultaneously achieve wide bandwidth, high gain, and high radiation efficiency, and deep learning models suffer from insufficient fitting accuracy and robustness in multi-objective optimization during electromagnetic response prediction.
A composite configuration with embedded parasitic branches, central forked slits, and asymmetric chamfered structure is adopted. Combined with the DeepONet operator learning design method, the electromagnetic response curve is fitted through a shared branch network, and a differential evolution algorithm and hierarchical penalty mechanism are introduced for multi-constraint optimization.
It achieved a relative bandwidth of 34.84%, a peak gain of 10.43 dBi, and a center frequency efficiency of 89.5%, solving the bottleneck of difficulty in simultaneously increasing bandwidth and gain in traditional designs and shortening the design cycle to the minute level.