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20 April 2023 Pattern synthesis of nonuniform linear arrays Including mutual coupling effects based on GPR and GA
Ziqiang Mu, Ming Su, Yuanan Liu
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Proceedings Volume 12602, International Conference on Electronic Information Engineering and Computer Science (EIECS 2022); 1260220 (2023) https://doi.org/10.1117/12.2668062
Event: International Conference on Electronic Information Engineering and Computer Science (EIECS 2022), 2022, Changchun, China
Abstract
This paper proposes a synthesis method for nonuniform linear antenna arrays that combines Gaussian process regression (GPR) and genetic algorithm (GA).In this mthod, the GPR model can be used to calculate the array radiation pattern in presence of mutual coupling effects, and then the GA is used to optimize the exciations and locations of the elements, so as to generate the desired radiation pattern. In this paper, taking a 9-element nonuniform linear array as an example and the desired radiation pattern corresponding to a Chebyshev distribution as the optimization objective, Optimize the exciations and locations of the elements. Finally, the optimization results are verified by electromagnetic simulation software CST, which shows that the method is effective.
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Ziqiang Mu, Ming Su, and Yuanan Liu "Pattern synthesis of nonuniform linear arrays Including mutual coupling effects based on GPR and GA", Proc. SPIE 12602, International Conference on Electronic Information Engineering and Computer Science (EIECS 2022), 1260220 (20 April 2023); https://doi.org/10.1117/12.2668062
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KEYWORDS
Antennas
Data modeling
Mathematical optimization
Process modeling
Genetic algorithms
Electromagnetic simulation
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