Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30135
A Tuning Method for Microwave Filter via Complex Neural Network and Improved Space Mapping

Authors: Shengbiao Wu, Weihua Cao, Min Wu, Can Liu

Abstract:

This paper presents an intelligent tuning method of microwave filter based on complex neural network and improved space mapping. The tuning process consists of two stages: the initial tuning and the fine tuning. At the beginning of the tuning, the return loss of the filter is transferred to the passband via the error of phase. During the fine tuning, the phase shift caused by the transmission line and the higher order mode is removed by the curve fitting. Then, an Cauchy method based on the admittance parameter (Y-parameter) is used to extract the coupling matrix. The influence of the resonant cavity loss is eliminated during the parameter extraction process. By using processed data pairs (the amount of screw variation and the variation of the coupling matrix), a tuning model is established by the complex neural network. In view of the improved space mapping algorithm, the mapping relationship between the actual model and the ideal model is established, and the amplitude and direction of the tuning is constantly updated. Finally, the tuning experiment of the eight order coaxial cavity filter shows that the proposed method has a good effect in tuning time and tuning precision.

Keywords: Microwave filter, scattering parameter (s-parameter), coupling matrix, intelligent tuning.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1316311

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 618

References:


[1] Y. Min, Robotic Computer-Aided Tuning, COM DEV internal report, vol. 6, pp. 11-17, 1994.
[2] Y. Min, Y.Wang, Robotic Computer-Aided Tuning, IEEE Trans. Microw. J, vol. 26, pp. 13-16, 2006.
[3] V. Miraftab, R. R. Mansour, Computer-Aided Tuning of Microwave Filters Using Fuzzy Logic, IEEE Trans. Microwave Theory Tech, vol. 50, pp. 2781-2788, 2002.
[4] J. Dunsmore, Tuning band pass fliters in the time domain, IEEE Micro. Symp. Santa Rosa, 1999, pp. 1351-1354.
[5] R Wang, L. Z Li, L Peng, Diagnosis of Coupled Resonator Bandpass Filters Using VF and Optimization Method, Progress In Electromagnetics Research M, vol. 51, 195-203, 2016.
[6] G. Macchiarella, D. Traina, A formulation of the Cauchy method suitable for the synthesis of lossless circuit models of microwave filter from lossy measurements,” IEEE Microw Wireless Compon. Lett, vol. 16, pp. 243-245, 2006.
[7] C. K. Liao, C. Y. Chang, J. Lin, A Vector-Fitting Formulation for Parameter Extraction of Lossy Microwave Filters, IEEE Microw Wireless Compon. Lett, vol. 17, pp. 277-279, 2007.
[8] A. Ghadiya, Parameter Extraction of Direct-Coupled Resonator Filter, 14th Int. Conf. Communication Systems and Network Technologies, Bhopal, India, 2014, pp. 25-29.
[9] J. Zhou, B. Duan, J. Huang, Support-vector modeling of electromechanical coupling for microwave filter tuning, IEEE J. RF and Microwave Computer-Aided Engineering, vol 23, pp. 127-139, 2013.
[10] Y. L. Zhang, J. X. YanA, hybrid computer-aided tuning method for microwave filters with asymmetrical phase shift effects, Asia-pacific Microw. Conf. Nanjing, vol. 2, 2015, pp. 6-9.
[11] S. Burger, M. Hoeft, Improved Filter Tuning in the Time Domain Improved Filter Tuning in the Time Domain, 1st Microw. Symp, Australian, 2015, pp. 27-28.
[12] L. Leifsson, S. Koziel, Surrogate modelling and optimization using shape-preserving response prediction: A review, Engineering Optimization, vol. 48, pp. 476-496, 2016.
[13] J. J. Michalski, Artificial neural network algorithm for automated filter tuning with improved efficiency by usage of many golden filters, 18th Int. Conf. MIKON, Vilnius, Lithuania, 2010 pp. 14-16.
[14] Q. S. Cheng, J. W. Bandler, S. Koziel, A review of implicit space mapping optimization and modeling techniques, IEEE MTT-S Int. Conf. NEMO, Ottawa, Aug, 2015, pp. 11-14.
[15] G. Macchiarella, ”Extraction of unloaded Q and coupling matrix from measurements on filters with Large losses,” IEEE Microw Wireless Compon. Lett, vol. 6, pp. 307-309, Jun. 2010.
[16] P. Kozakowski, Automated CAD of Coupled Resonator Filters, IEEE Trans. Microwave Theory Tech, vol. 12, December, pp. 470-472, 2002.
[17] H. Hu, K. L. Wu, A Generalized Coupling Matrix Extraction Technique for Bandpass Filters With Uneven-Qs, IEEE Trans. Microwave Theory Tech, vol. 62, pp. 244-251, 2014.
[18] R. I. Cameron, Advanced coupling matrix synthesis techniques for microwave filters, IEEE Trans. Microwave Theory Tech, vol. 51, pp. 1-10, Jan. 2003.