TY - GEN
T1 - Defected Ground Structure (DGS) Optimization of Microstrip Antenna Using Particle Swarm Optimization (PSO) for Gain Enhancement
AU - Auliayusuf, A'Isya Nur
AU - Dewi Purnamasari, Prima
AU - Zulkifli, Fitri Yuli
N1 - Funding Information:
ACKNOWLEDGMENT This research is supported by Hibah Penelitian Disertasi Doktoral from the Ministry of Research, Technology, and Higher Education (Kemristekdikti) by contract number NKB-1005/UN2.RST/HKP.05.00/2022.
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Defected ground structure (DGS) is a method for enhancing antenna gain without having to increase the antenna dimension by modifying the structure of the antenna ground. However, the inductive approach is typically used when implementing the DGS technique, which is time-consuming and needs high computational resources. Therefore, heuristic optimization techniques, such as particle swarm optimization (PSO), are used to accelerate the DGS design process. In order to reduce the design time of DGS, this study suggests a PSO-based DGS model to enhance the gain and bandwidth of microstrip antennas. The contribution in this study is the optimized DGS design using PSO, where this design has higher gain, broader bandwidth performance with shorter iteration time compared to the DGS design using an inductive approach. The simulation results show that the PSO-based DGS microstrip antenna has a gain value of 2.82 dBi and a resonant frequency between 2.4 and 2.52 GHz. The proposed DGS design can improve the antenna's gain and bandwidth by 100% and 54.94%, respectively, compared to the original rectangular microstrip antenna.
AB - Defected ground structure (DGS) is a method for enhancing antenna gain without having to increase the antenna dimension by modifying the structure of the antenna ground. However, the inductive approach is typically used when implementing the DGS technique, which is time-consuming and needs high computational resources. Therefore, heuristic optimization techniques, such as particle swarm optimization (PSO), are used to accelerate the DGS design process. In order to reduce the design time of DGS, this study suggests a PSO-based DGS model to enhance the gain and bandwidth of microstrip antennas. The contribution in this study is the optimized DGS design using PSO, where this design has higher gain, broader bandwidth performance with shorter iteration time compared to the DGS design using an inductive approach. The simulation results show that the PSO-based DGS microstrip antenna has a gain value of 2.82 dBi and a resonant frequency between 2.4 and 2.52 GHz. The proposed DGS design can improve the antenna's gain and bandwidth by 100% and 54.94%, respectively, compared to the original rectangular microstrip antenna.
KW - DGS
KW - gain enhancement
KW - microstrip antenna
KW - PSO
UR - http://www.scopus.com/inward/record.url?scp=85150429795&partnerID=8YFLogxK
U2 - 10.1109/ICITISEE57756.2022.10057925
DO - 10.1109/ICITISEE57756.2022.10057925
M3 - Conference contribution
AN - SCOPUS:85150429795
T3 - Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering: Applying Data Sciences and Artificial Intelligence Technologies for Environmental Sustainability, ICITISEE 2022
SP - 688
EP - 692
BT - Proceeding - 6th International Conference on Information Technology, Information Systems and Electrical Engineering
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference on Information Technology, Information Systems and Electrical Engineering, ICITISEE 2022
Y2 - 13 December 2022 through 14 December 2022
ER -
