Design of modern antenna structures needs to account for multiple performance figures and geometrical constraints. Fulfillment of these calls for the development of complex topologies described by a large number of parameters. EM-driven tuning of such designs is mandatory yet immensely challenging. In this letter, a new framework for multi-stage design optimization of multi-dimensional antennas with respect to several performance criteria is proposed. The approach is founded on the idea of identifying a feasible region of the search space through a series of local optimization runs with appropriate handling of individual objectives and design constraints. To facilitate local optimization, a procedure for finding a good starting point is proposed which involves sensitivity-based reduction of the problem dimensionality. For computational efficiency, the proposed design procedure is aided by surrogate modeling techniques. The proposed framework is demonstrated using a dual-band antenna with the enhanced gain. Our methodology is compared to alternative design approaches. The numerical results are validated experimentally.
Authors
Additional information
- DOI
- Digital Object Identifier link open in new tab 10.1109/lawp.2019.2921610
- Category
- Publikacja w czasopiśmie
- Type
- artykuł w czasopiśmie wyróżnionym w JCR
- Language
- angielski
- Publication year
- 2019
