Multi-Parameters Unified-Optimization for Millimeter Wave Microstrip Antenna Based on ICACO

Rongling Jian; Yueyun Chen; Taohua Chen

doi:10.1109/ACCESS.2019.2912461

IEEE Access (Jan 2019)

Multi-Parameters Unified-Optimization for Millimeter Wave Microstrip Antenna Based on ICACO

Rongling Jian,
Yueyun Chen,
Taohua Chen

Affiliations

Rongling Jian: ORCiD; School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China
Yueyun Chen: School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China
Taohua Chen: School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China

DOI: https://doi.org/10.1109/ACCESS.2019.2912461
Journal volume & issue: Vol. 7
pp. 53012 – 53017

Abstract

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In this paper, a novel hybrid iterative algorithm based on imperial competition algorithm (ICA) and Ant Colony Optimization (ACO) is proposed to achieve multi-parameters unified-optimization of millimeter wave (mmWave) microstrip antenna. After assimilation of ICA, the pheromone guidance mechanism is added to update the position of ant, which avoids the ICA solution falling into a local optimum. Two input impedance models of microstrip antenna are solved by different algorithms, which show the proposed algorithm (ICACO) converges faster than three compared algorithms. The multi-parameters unified-optimization of mmWave microstrip antenna under the operation of TM10 and TM02 modes is carried out by ICACO to enhance impedance bandwidth and improve bore-sight gain. The proposed algorithm is applicable in antenna multi-parameters design problems as a reliable approach with faster convergence rate.

Published in IEEE Access

ISSN: 2169-3536 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639

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