1. End-to-end antenna optimization based on Bayesian optimization algorithm.
- Author
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TIAN Chunming, YANG An, YE Le, LI Jianxing, and HE Yuchen
- Subjects
MATHEMATICAL optimization ,ANTENNA design ,ANTENNAS (Electronics) - Abstract
Once the topology of an antenna is determined, optimization of various antenna parameters is conducted to achieve the desired objectives. A fast and effective optimization algorithm is significant to shorten the antenna design period. With the use of a comprehensive objective function which fuses multiple targets arid constraints into one single function, the antenna is optimized end-to-end by employing Bayesian optimization algorithm. Based on the online updated dataset, the Gaussian process estimates the posterior distribution of the comprehensive objective function, and afterwards acquisition function is utilized for the iteration. To demonstrate the proposed method, two antenna models are simulated and optimized. The results show that because the proposed method is implemented in an end-to-end way through a mapping from the antenna parameters to a comprehensive objective function, it can achieve better optimization results and higher optimization efficiency compared with the conventional methods. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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