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Rectangular Waveguide Design Optimization by Sequential Nonlinear Programming and Genetic Algorithm

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Machine Learning and Intelligent Communications (MLICOM 2019)

Abstract

Rectangular waveguide is a common metal waveguide with simple fabrication, low loss and dual polarization. It is often used in antenna feeders requiring dual polarization mode, and also widely used in various resonators and wavelength meters. This paper attempts to design, simulate and optimize rectangular waveguide. By setting the length, width and height of rectangular waveguide, the required rectangular waveguide is designed. The resonant frequency of rectangular waveguide is setting to 9.25 GHz. Moreover, the input return loss is required to be as small as possible. After satisfying the requirements, sequential nonlinear programming and genetic algorithm are used to optimize both voltage standing wave ratio and normalized impedance matching. Simulation results show that the proposed method is able to accomplish the optimal design of rectangular waveguide.

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Acknowledgment

This research was supported in part by the National Natural Science Foundation of China (Project No. 61603275, 61601329, 61803054), the Tianjin Higher Education Creative Team Funds Program, the Basic Research and Frontier Exploration Project (Project No. cstc2018jcyjAX0297), the Fundamental Research Funds for the Central Universities (Project No. 2019CDQYZDH030), and the Doctor Fund of Tianjin Normal University (Project No. 52XB1905).

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Correspondence to Xin Zhang .

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Lin, M., Zhang, X., Li, Y., Wu, Z. (2019). Rectangular Waveguide Design Optimization by Sequential Nonlinear Programming and Genetic Algorithm. In: Zhai, X., Chen, B., Zhu, K. (eds) Machine Learning and Intelligent Communications. MLICOM 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 294. Springer, Cham. https://doi.org/10.1007/978-3-030-32388-2_9

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  • DOI: https://doi.org/10.1007/978-3-030-32388-2_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-32387-5

  • Online ISBN: 978-3-030-32388-2

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