Hybrid Method of Artificial Neural Network and Simulated Annealing Algorithm for Optimizing Wideband Patch Antennas
- 14 November 2023
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Antennas and Propagation
- Vol. 72 (1) , 944-949
Abstract
In order to design the wideband patch antenna, a hybrid method based on the artificial neural network (ANN) and the simulated annealing (SA) algorithm is proposed in this paper. The ANN is employed to describe the nonlinear relationship between the geometric parameters and the S-parameters of the antenna. The ANN is trained by the dataset got by the High Frequency Structure Simulator (HFSS). More importantly, the dataset is divided into three groups according to their own characteristics so that the ANN can be trained faster and better. The SA is employed to broaden the bandwidth of the patch antenna with the required center frequency. Then three wideband patch antennas with different center frequencies are designed to demonstrate the feasibility of the proposed method. Several slots are added to the patch to achieve the wide bandwidth. The results prove that the proposed method can obtain the wideband patch antenna quickly and efficiently.Keywords
Funding Information
- National Key Research and Development Program of China (2023YFE0107900)
- National Natural Science Foundation of China (62101341, 62071306)
- Shenzhen Science and Technology Program (20200810131855001, JCYJ20200109113601723, JSGG20210420091805014, JSGG20210802154203011)
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