An improved computer-aided tuning method for microwave filters

Zhang Yongliang; Su Tao; Wu Bian; Yan Jiaxin

doi:10.11884/HPLPB201527.123003

Volume 27 Issue 12

Jan. 2016

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Article Navigation > High Power Laser and Particle Beams > 2015 > 27(12): 123003

Zhang Yongliang, Su Tao, Wu Bian, et al. An improved computer-aided tuning method for microwave filters[J]. High Power Laser and Particle Beams, 2015, 27: 123003. doi: 10.11884/HPLPB201527.123003

Citation:

Zhang Yongliang, Su Tao, Wu Bian, et al. An improved computer-aided tuning method for microwave filters[J]. High Power Laser and Particle Beams, 2015, 27: 123003. doi: 10.11884/HPLPB201527.123003

Zhang Yongliang, Su Tao, Wu Bian, et al. An improved computer-aided tuning method for microwave filters[J]. High Power Laser and Particle Beams, 2015, 27: 123003. doi: 10.11884/HPLPB201527.123003

Citation:

Zhang Yongliang, Su Tao, Wu Bian, et al. An improved computer-aided tuning method for microwave filters[J]. High Power Laser and Particle Beams, 2015, 27: 123003. doi: 10.11884/HPLPB201527.123003

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An improved computer-aided tuning method for microwave filters

doi: 10.11884/HPLPB201527.123003

1.
College of Transportation,Inner Mongolia University,Hohhot 010070,China;
2.
Post-doctoral Research Station of College of Physical Science and Technology,Inner Mongolia University,Hohhot 010021,China;
3.
Science and Technology on Antenna and Microwave Laboratory,Xidian University,Xi’an 710071,China;

Received Date: 2015-06-14
Rev Recd Date: 2015-09-21
Publish Date: 2015-11-26

Abstract

Abstract

The traditional diagnosis and tuning method for microwave filter only extract, the equivalent circuit parameters, but not the tuning magnitude. The couplings between the tuning elements are not considered, and it is very inefficient. In order to diagnos and tune the microwave filter quickly, we must determine the tuning direction and value. An improved tuning method based on genetic algorithm and aggressive space mapping is presented in this paper. The measured or simulated parameters such as S parameters are not suitable for parameter extraction directly. The phase shift effect must be removed before parameter extraction. The phase shift effect is moved by using the genetic algorithm. The equivalent circuit parameters are extracted through Cauchy method after the phase shift effect is removed. The tuning direction and value are determined by aggressive space mapping, which makes the filter meet the specifications. A fourth order cross-coupled filter tuning example is used to verify the new method and shows the validity of the method. The filter meets specifications less than four iterations. The method presented in this paper can be applied to other type filter diagnosis and tuning.
- filters,
- parameter extraction,
- genetic algorithm,
- aggressive space mapping

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