Abstract
A methodology for computationally efficient simulation-driven design of microstrip antenna subarrays is presented. Our approach takes into account the effect of the feed (e.g., a corporate network) on the subarray side lobe level and allows adjusting both radiation and reflection responses of the structure under design within a single automated process. This process is realized as surrogate-based optimization that produces designs meeting requirements imposed on both radiation and reflection at the cost of just a few simulations of the high-fidelity model of the structure of interest. Selected optimal designs of microstrip subarrays operating at 10 GHz have been manufactured and validated by measuring their radiation patterns and reflection coefficients.
Original language | English |
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Article number | 6798705 |
Pages (from-to) | 3584-3591 |
Number of pages | 8 |
Journal | IEEE Transactions on Antennas and Propagation |
Volume | 62 |
Issue number | 7 |
DOIs | |
Publication status | Published - Jul 2014 |
Other keywords
- Antenna radiation patterns
- design automation
- design optimization
- feeds
- microstrip antenna arrays
- microstrip antennas
- patch antennas
- surrogate models