摘要
In this paper, a method based on support vector regression (SVR) using radial basis function (RBF) and the particle swarm optimization (PSO) algorithm is proposed to accurately predict electromagnetic (EM) scattering fields versus any incident angle at the specific frequency we are interested in. Compared with the simulation results by FEKO using the method of moment (MoM), this method can accurately predict the monostatic RCS with the root-mean-square error (RMSE) less than -9 dBsm.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | 2022 IEEE 10th Asia-Pacific Conference on Antennas and Propagation, APCAP 2022 - Proceedings |
| 出版商 | Institute of Electrical and Electronics Engineers Inc. |
| ISBN（电子版） | 9781665489546 |
| DOI | |
| 出版状态 | 已出版 - 2022 |
| 活动 | 10th IEEE Asia-Pacific Conference on Antennas and Propagation, APCAP 2022 - Xiamen, 中国 期限: 4 11月 2022 → 7 11月 2022 |
出版系列
| 姓名 | 2022 IEEE 10th Asia-Pacific Conference on Antennas and Propagation, APCAP 2022 - Proceedings |
|---|
会议
| 会议 | 10th IEEE Asia-Pacific Conference on Antennas and Propagation, APCAP 2022 |
|---|---|
| 国家/地区 | 中国 |
| 市 | Xiamen |
| 时期 | 4/11/22 → 7/11/22 |
指纹
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Zhang, Z., & He, M. (2022). Fast Prediction of Electromagnetic Scattering Fields Based on Machine Learning and PSO Algorithm. 在 2022 IEEE 10th Asia-Pacific Conference on Antennas and Propagation, APCAP 2022 - Proceedings (2022 IEEE 10th Asia-Pacific Conference on Antennas and Propagation, APCAP 2022 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APCAP56600.2022.10069242