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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  4/2019 - 5

Tri-band Impedance Matching Network Design Using Particle Swarm Optimization Algorithm

ULKER, S. See more information about ULKER, S. on SCOPUS See more information about ULKER, S. on IEEExplore See more information about ULKER, S. on Web of Science
 
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Download PDF pdficon (762 KB) | Citation | Downloads: 224 | Views: 446

Author keywords
computer aided engineering, evolutionary computation, impedance matching, microwave circuits, particle swarm optimization

References keywords
optimization(36), swarm(29), microwave(14), design(13), band(11), multi(9), algorithm(8), applications(7), power(6), artificial(6)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2019-11-30
Volume 19, Issue 4, Year 2019, On page(s): 37 - 46
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2019.04005
Web of Science Accession Number: 000505015400001
SCOPUS ID: 85077255996

Abstract
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A solution strategy is presented using a five-section transmission line impedance transformer aiming for multiple band matching network circuits. In this paper, the analysis, which is based on the transmission line theory and application of the evolutionary algorithm for the solution of the stated problem are explained. Design of the matching networks was performed and optimized at three different frequencies 1.8 GHz, 2.4 GHz and 3 GHz at the same time. Tests were performed for two different load configurations. The optimized design values obtained from the particle swarm optimization algorithm were verified for correctness using microwave simulator. After the fabrication of the circuits, the measurements were taken for these circuits for the validation of the design. From the observations that were made, it can be concluded that particle swarm optimization can be a good choice for the design and optimization of multiple band matching network circuits.


References | Cited By  «-- Click to see who has cited this paper

[1] M. Chongcheawchamnan, S. Patisang, S. Srisathit, R. Phromloungsri, S. Bunnjaweht, "Analysis and design of a three-section transmission-line transformer," IEEE Trans. Microwave Theory and Techniques, vol. 53, issue-7, pp. 2458-2462, July 2005.
[CrossRef] [Web of Science Times Cited 43]


[2] X. H. Wang, L. Zhang, Y. Xu, Y. F. Bai, C. Liu, X.-W. Shi, "A tri-band impedance transformer using stubbed coupling line," Progress in Electromagnetics Research, vol.141, pp. 33-45, 2013.
[CrossRef] [Web of Science Times Cited 12]


[3] Z. Hu, C. Huang, S. He, F. You, "Tri-band matching technique based on characteristic impedance transformers for concurrent tri-band power amplifiers design," in TENCON 2015- 2015 IEEE Region 10 Conference, 1-4 Nov. 2015.
[CrossRef]


[4] M. Khodier, N. Dib, J. Ababneh, "Design of multi-band multi-section transmission line transformer using particle swarm optimization," Electrical Engineering, vol. 90, issue 4, pp. 293-300, April 2008.
[CrossRef] [Web of Science Times Cited 12]


[5] L. -C. Tsai, "Design of triple-band impedance transformers using Z-transform techniques," IEEE Microwave and Wireless Component Letters, vol. 26, issue: 8, pp. 559-561, August 2016.
[CrossRef] [Web of Science Times Cited 3]


[6] L. -C. Tsai, "Triple-band impedance transformers using equal-length serial transmission lines," IET Microwaves, Antennas & Propagation, vol. 10, issue 5, pp. 568-573, April 2016.
[CrossRef] [Web of Science Times Cited 5]


[7] J. Kim, Y. Lee, "A Z-transform method for synthesis of unequal-length multisection transmission lines for multiband applications," IEEE Transactions on Microwave Theory and Techniques, vol. 65, issue:9, pp. 3200-3210, September 2017.
[CrossRef] [Web of Science Times Cited 6]


[8] Y. Li , T. Cantin, B. Derat, D. Pasquet, J-C. Bolomey, "Application of resonant matching circuits for simultaneously enhancing the bandwidths of multi-band mobile phones," in 2007 International Workshop on Antenna Technology: Small and Smart Antennas Metamaterials and Applications, pp. 479-482, June 2007.
[CrossRef] [Web of Science Times Cited 3]


[9] G. Sami, M. Mohanna, M. L. Rabeh, "Tri-band microstrip antenna design for wireless communication applications," NRIAG Journal of Astronomy and Geophysics, 2, pp. 39-44, (2013).
[CrossRef]


[10] M. Chongcheawchamnan, S. Patisang, M. Krairiksh, I.D. Robertson, "Tri-band Wilkinson power divider using a three-section transmission-line transformer," IEEE Microwave and Wireless Components Letters, vol. 16, issue 8, pp. 452-454, August 2006.
[CrossRef] [Web of Science Times Cited 71]


[11] N. Dib, M. Khodier, "Design and optimization of multi-band Wilkinson power divider," International Journal of RF and Microwave Computer-Aided Engineering, vol. 18, Issue 1, pp. 14-20, January 2008.
[CrossRef] [Web of Science Times Cited 26]


[12] X-F. Luo, "Differential evolution strategy cum equivalent circuit method for the design of multi-band frequency selective surfaces," The Journal of China Universities of Posts and Telecommunications, vol. 18, supp. 1, pp. 101-105, September 2011.
[CrossRef]


[13] M. Donelli, Md. Rukanuzzaman, C. Saavedra, "A methodology for the design of microwave systems and circuits using an evolutionary algorithm," Progress in Electromagnetics Research M, vol. 31, pp. 129-141, 2013.
[CrossRef]


[14] X-h. Fan, Y-b. Tan, Y. Zhao, "Optimal design of microwave devices by fitness estimation-based particle swarm optimization algorithm," Applied Computational Electromagnetics Society Journal, vol.33, no. 11, pp. 1259-1267, Nov. 2018.

[15] B. Mhamdi, "Microwave imaging based on two hybrid particle swarm optimization approaches," International Journal of Microwave and Wireless Technologies, vol. 11, issue 3, pp. 268-275, April 2019.
[CrossRef] [Web of Science Times Cited 1]


[16] A. Soares, R. Rabelo, A. Delbem, "Optimization based on phylogram analysis," Expert Systems with Applications, vol. 78, pp. 32-50, July 2017.
[CrossRef] [Web of Science Times Cited 6]


[17] C. Purcaru, R-E. Precup, D. Iercan, L.-O. Federovici, R.-C. David, F. Dragan, "Optimal robot path planning using gravitational search algorithm," International Journal of Artificial Intelligence, vol. 10, no: S13, pp. 1-20, March 2013.

[18] A. Naseri, S. M. H. Hasheminejad, "An unsupervised gene selection method based on multiobjective ant colony optimization," International Journal of Artificial Intelligence, vol. 17, no: 2, pp. 1-22, October 2019.

[19] M. Shams, E. Rashedi, S. M. Dashti, A. Hakimi, "Ideal gas optimization algorithm," International Journal of Artificial Intelligence, vol. 15, no. 2, pp. 116-130, October 2017.

[20] B. H. Abed-alguni, "Island-based cuckoo search with highly disruptive polynomial mutation," International Journal of Artificial Intelligence, vol. 17, no. 1, pp. 57-82, March 2019.

[21] S. Mirjalili, S. M. Mirjalili, A. Lewis, "Grey wolf optimizer," Advances in Engineering Software, vol. 69, pp. 46-61, March 2014.
[CrossRef] [Web of Science Times Cited 2484]


[22] A. Heidari, S. Mirjalili, H. Faris, I. Aljarah, M. Mafarja, H. Chen, "Harris hawks optimization: algorithm and applications," Future Generation Computer Systems, vol. 97, pp. 849-872, August 2019.
[CrossRef] [Web of Science Times Cited 194]


[23] P. Mei, L. Wu, H. Zhang, Z. Liu, "A hybrid multi-objective crisscross optimization for dynamic economic/emission dispatch considering plug-in electric vehicles penetration," Energies, vol. 12, issue 20, 3847, October 2019.
[CrossRef] [Web of Science Times Cited 2]


[24] R. Eberhart, J. Kennedy, "A new optimizer using particle swarm optimizer using particle swarm theory," in Proceedings of the Sixth International Symposium Micro Machine Human Science, 4-6 October 1995.
[CrossRef]


[25] Y. Shi, R. C. Eberhart, "Fuzzy adaptive particle swarm optimization," in Congress on Evolutionary Computation, 27-30 May 2001, pp.101-106.
[CrossRef]


[26] B. Liu, L. Wang, Y.-H. Jin, F. Tang, D.-X. Huang, "Improved particle swarm optimization combined with chaos," Chaos, Solitons & Fractals, vol. 25, issue 5, pp. 1261-1271 September 2005.
[CrossRef] [Web of Science Times Cited 566]


[27] W.-N. Chen, J. Zhang, Y. Lin, N. Chen, Z.-H. Zhan, H. S.-H. Chung, Y. Li, Y.-H. Shi, "Particle swarm optimization with an aging leader and challengers," IEEE Transactions on Evolutionary Computation, vol. 17, issue:2, pp. 241-258, April 2013.
[CrossRef] [Web of Science Times Cited 292]


[28] G.-G. Wang, A. H. Gandomi, X.-S. Yang, A. H. Alavi, "A novel improved accelerated particle swarm optimization algorithm for global optimization," Engineering Computations, vol. 31, issue:7, pp.1198-1220, 2014.
[CrossRef] [Web of Science Times Cited 83]


[29] Q. Yang, J. Tian, W. Si, "An improved particle swarm optimization based on difference equation analysis," Journal of Differential Equation Applications, vol. 23, issue: 1-2, pp. 135-152, 2017.
[CrossRef] [Web of Science Times Cited 7]


[30] A. Bouyer, A.Hatamlou, "An efficient hybrid clustering method based on improved cuckoo optimization and modified particle swarm optimization algorithms," Applied Soft Computing, vol. 67, pp. 172-182, 2018.
[CrossRef] [Web of Science Times Cited 21]


[31] A. Anand, L. Suganthi, "Hybrid GA-PSO optimization of artificial neural network for forecasting electricity demand," Energies, vol. 11(4), 728, 2018.
[CrossRef] [Web of Science Times Cited 13]


[32] E. D. Ulker, "A PSO/HS based algorithm for optimization tasks," 2017 Computing Conference SAI, pp. 117-120, 18-20 July 2017.
[CrossRef]


[33] K.-P. Wang, L. Huang, C.-G. Zhou, W. Pang, "Particle swarm optimization for travelling salesman problem," in Proceedings of the 2003 International Conference on Machine Learning and Cybernetics, 5, pp. 1583-1585, November 2003.
[CrossRef] [Web of Science Times Cited 191]


[34] P. Pijarski, P. Kacejko, "Methods of simulated annealing and particle swarm applied to the optimization of reactive power flow in electric power systems," Advances in Electrical and Computer Engineering, vol. 18, number 4, pp. 43-48, 2018.
[CrossRef] [Full Text] [Web of Science Times Cited 2]


[35] P. Nammalvar, S. Ramkumar, "Parameter improved particle swarm optimization based direct-current vector control strategy for solar PV system," Advances in Electrical and Computer Engineering, vol. 18, number 1, pp. 105-112, 2018.
[CrossRef] [Full Text] [Web of Science Times Cited 5]


[36] H. Fu, Z. Li, Z. Liu, Z. Wang, "Research on big data digging of hot topics about recycled water use on micro-blog based on particle swarm optimization," Sustainability, vol. 10, issue 7, 2488, July 2018.
[CrossRef] [Web of Science Times Cited 92]


[37] M. Chih, "Three pseudo-utility ratio-inspired particle swarm optimization with local search for multidimensional knapsack problem," Swarm and Evolutionary Computation, vol. 39, pp. 279-296, April 2018.
[CrossRef] [Web of Science Times Cited 11]


[38] T. Inan, A. F. Baba, "Particle swarm optimization based collision avoidance," Turkish Journal of Electrical Engineering and Computer Science, vol. 27, issue 3, pp. 2137-2155, 2019.
[CrossRef] [Web of Science Times Cited 3]


[39] J. Robinson, Y. Rahmat-Samii, "Particle swarm optimization in electromagnetics," IEEE Transactions Antennas and Propagation, vol. 52, issue 2, pp. 397-407, February 2004.
[CrossRef] [Web of Science Times Cited 1274]


[40] S. Ulker, "Particle swarm optimization application to microwave circuits," Microwave and Optical Technology Letters, vol. 50, no. 5, pp. 1333-1336, May 2008.
[CrossRef]


[41] S. Ulker, "Broadband microwave amplifier design using particle swarm optimization," Journal of Computers, vol. 6, no. 11, pp. 2272-2276, November 2011.
[CrossRef]


[42] S. Ulker, "Design of low noise amplifiers using particle swarm optimization," International Journal of Artificial Intelligence and Applications, vol. 3, no. 4, pp.99-106, July 2012.

[43] E. D. Ulker, S.Ulker, "Application of particle swarm optimization to microwave tapered microstrip lines," Computer Science & Engineering: An International Journal (CSEIJ), vol. 4, no. 1, February 2014.

[44] I. C. Trelea, "The particle swarm optimization algorithm: convergence analysis and parameter selection," Information Processing Letters, 85, pp.317-325, 2003.
[CrossRef] [Web of Science Times Cited 1513]


[45] A. Salman, I. Ahmad, S. Al-Madani, "Particle swarm optimization for task assignment problem," Microprocessors and Microsystems 26, pp. 363-371, 2002.
[CrossRef] [Web of Science Times Cited 421]


[46] Q. Lin, J. Li, Z. Du, J. Chen, Z. Ming, "A novel multi-objective particle swarm optimization with multiple search strategies," European Journal of Operational Research, vol. 247, issue 3, pp. 732-744, December 2015.
[CrossRef] [Web of Science Times Cited 82]


[47] C. Ma, L. Qu, "Multiobjective optimization of switched reluctance motors based on the design of experiments and particle swarm optimization," IEEE Transactions on Energy Conversion, vol. 30, issue 3, pp. 1144-1153, September 2015.
[CrossRef] [Web of Science Times Cited 85]


[48] J.-L. Duchaud, G. Notton, C. Darras, C. Voyant, "Multi-objective particle swarm optimal sizing of a renewable hybrid power plant with storage," Renewable Energy, vol. 131, pp. 1156-1167. February 2019.
[CrossRef] [Web of Science Times Cited 15]


[49] Y. Zhang, Q. Zhang, A. Farnoosh, S. Chen, Y. Li, "GIS-based multi-objective particle swarm optimization of charging stations for electric vehicles," Energy, vol. 169, pp. 844-853, February 2019.
[CrossRef] [Web of Science Times Cited 12]


[50] California Institute of Technology, Puff 2.1, Computer Aided Design for Microwave Integrated Circuits. Retrieved 19 November 2017 from: http://www.its.caltech.edu/~mmic/puffindex/puffE/puffE.htm

[51] Rogers Corporation, ROGERS 6006-6010 data sheet. Retrieved: 20 July 2018 from: http://www.rogerscorp.com/documents/612/index.aspx

[52] National Instruments, Vector Network Analyzer PXIe-6532. Retrieved 20 July 2018 from: https://www.ni.com/en-tr/shop/select/pxi-vector-network-analyzer



References Weight

Web of Science® Citations for all references: 7,556 TCR
SCOPUS® Citations for all references: 0

Web of Science® Average Citations per reference: 143 ACR
SCOPUS® Average Citations per reference: 0

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2020-09-29 04:35 in 290 seconds.




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