Self-Adaptive and AI-Driven Methodologies for Efficient Automated Design: From Microwave Couplers to Beamforming Networks
Abstract
The traditional designs for microwave devices, such as couplers and beam-forming networks, are based on massive electromagnetic simulation processes, which require high time cost and lots of manual work. In this paper, several novel artificial intelligence techniques combined with self-adaptive data processing methods are reviewed, achieving efficient automatic design workflows. These theories provide practical approaches from single coupler design to systematic design of the complete beamforming network, and three applications are given as examples.
Fields of Study & Subjects
Microwave Engineering and Waveguides
Antenna Design and Optimization
Electromagnetic Simulation and Numerical Methods
Publication details
- Journal / source
- IEEE International Microwave Filter Workshop (IMFW)
- Pages
- 1–3
- Publication date
- 7 February 2026
- Language
- EN