PhotonIcs and Electromagnetics Research Symposium,
also known as Progress In Electromagnetics Research Symposium
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Published by The Electromagnetics Academy
Published: 2015-08-28
Design of Wideband Non-equiripple Filtering Response Using Genetic Algorithm Based Neural Network
By
Sheng Sun,
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    Sheng Sun

    University of Electronic Science and Technology of China, China

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Shiqing Cui,
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    Shiqing Cui

    The University of Hong Kong, China

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Shan Shan Gao,
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    Shan Shan Gao

    Chengdu University, China

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Lei Zhu
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    Lei Zhu

    University of Macau, China

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Proceedings of 2015 Photonics & Electromagnetics Research Symposium, Prague, July 6 - 9，Page(s)1364-1368
Abstract
In this paper, the wideband multiple-mode-based bandpass filter with non-equiripple response is designed using genetic algorithm based neural network. The neural network is first employed to reduce the complexity in the design of wideband in-band equiripple response. With- out deriving analytic solutions or solving non-linear equations, the coefficients of polynomials for the filters with non-equiripple responses can also be determined. Finally, the filters with both the five-pole equiripple and non-equiripple bandpass responses are designed and demonstrated. The accuracy of the proposed optimization method is also discussed in details.
Citation
Sheng Sun, Shiqing Cui, Shan Shan Gao, and Lei Zhu, "Design of Wideband Non-equiripple Filtering Response Using Genetic Algorithm Based Neural Network," Proceedings of 2015 Photonics & Electromagnetics Research Symposium, Prague, July 6 - 9，Page(s)1364-1368
References

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