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| Millimeter Wave Antenna Design Based on Fast Swarm Intelligence Algorithm |
| CHEN Yueyun JIAN Rongling ZHAO Yongxu |
| (School of Computer & Communication Engineering, University of Science & Technology Beijing, Beijing 100083, China) |
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Abstract Considering the problem of mismatched impedance of millimeter wave antenna, an algorithm based on Particle Swarm Ant Colony Optimization (PSACO) is proposed to optimize antenna patch parameters and the pheromone guidance mechanism of the ant colony algorithm is used to obtain the patch length, width and feed position optimized by the particle swarm algorithm. The Fuzzy Decision-Making Comprehensive Evaluation (FD-MCE) model is used to solve the ground slotted position of the millimeter wave antenna to realize the bandwidth expansion . For the designed and simulated 28.0 GHz center frequency, the results show that the proposed method can effectively and quickly realize the impedance matching of millimeter wave antenna, and the resonant frequency is exactly the same as the center frequency. When the slot area is not greater than the total area of 30% of the ground, the bandwidth can be extended about 33%, and the return loss characteristics are also significantly improved. The proposed algorithm has the advantages of low computational complexity and fast convergence.
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Received: 12 May 2017
Published: 08 November 2017
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| Fund:The National Science and Technology Major Project of China (2016ZX03002010-004) |
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Corresponding Authors:
CHEN Yueyun
E-mail: chenyy@ustb.edu.cn
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