TY - GEN
T1 - An Effective Method for Antenna Optimization Using Attention-based LSTM
AU - Wang, Peng
AU - Zhai, Menglin
AU - Li, Demin
AU - Pei, Rui
AU - Zhang, Lei
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This paper proposes an optimization design of a dual-band antenna at GSM1800 (1.8 GHz) and ISM bands (2.45 GHz) with an Attention-base Long Short-Term Memory (ALSTM) neural network method. By taking the antenna performance indexes as the input and the corresponding geometric variables as the output, the proposed A-LSTM can improve the efficiency of machine learning-assisted optimization on antenna design. The experimental results show that the error of A-LSTM is lower than that of traditional artificial neural network (ANN), and its optimized antenna has better performance.
AB - This paper proposes an optimization design of a dual-band antenna at GSM1800 (1.8 GHz) and ISM bands (2.45 GHz) with an Attention-base Long Short-Term Memory (ALSTM) neural network method. By taking the antenna performance indexes as the input and the corresponding geometric variables as the output, the proposed A-LSTM can improve the efficiency of machine learning-assisted optimization on antenna design. The experimental results show that the error of A-LSTM is lower than that of traditional artificial neural network (ANN), and its optimized antenna has better performance.
UR - http://www.scopus.com/inward/record.url?scp=85148619224&partnerID=8YFLogxK
U2 - 10.1109/ICMMT55580.2022.10023025
DO - 10.1109/ICMMT55580.2022.10023025
M3 - Conference Proceeding
AN - SCOPUS:85148619224
T3 - 2022 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2022 - Proceedings
BT - 2022 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2022 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th International Conference on Microwave and Millimeter Wave Technology, ICMMT 2022
Y2 - 12 August 2022 through 15 August 2022
ER -