Hostname: page-component-8448b6f56d-sxzjt Total loading time: 0 Render date: 2024-04-23T08:32:17.181Z Has data issue: false hasContentIssue false
  • English
  • Français

Material distributive topology design of UWB antenna using parallel computation of improved BPSO with FDTD

Published online by Cambridge University Press:  08 November 2018

A. P. Thilaga Shri Chandra ,
L. Senthilkumar  and
M. Meenakshi
A. P. Thilaga Shri Chandra*
Affiliation:
Department of Electronics and Communication Engineering, College of Engineering Guindy, Anna university, Chennai, India-600025
L. Senthilkumar
Affiliation:
Department of Electronics and Communication Engineering, College of Engineering Guindy, Anna university, Chennai, India-600025
M. Meenakshi
Affiliation:
Department of Electronics and Communication Engineering, College of Engineering Guindy, Anna university, Chennai, India-600025
*
Author for correspondence: Thilaga Shri Chandra A. P., E-mail: thilagashri@gmail.com
Get access Rights & Permissions [Opens in a new window]

Abstract

In this article, the material distributive topology-based design optimization of ultra-wide band (UWB) antenna is proposed by using improved binary particle swarm optimization (BPSO) with finite difference time domain (FDTD) method. In the improved BPSO implementation, the velocity of each particle is calculated based on complete set of bits of particle position vector. The V-shaped transfer function is employed to transform all real values of velocities to values in the interval [0,1]. The fitness function of all the particles in BPSO algorithm are computed parallely by using FDTD simulation. The usage of FDTD and the parallel computation helps in analyzing the broadband frequency characteristics of the antenna with a single simulation run. The return loss of the optimized UWB antenna obtained from FDTD, Computer Simulation Technology (CST) simulation and practical measurement are in good agreement and show good impedance matching.

Keywords

Binary particle swarm optimization (BPSO)finite difference time domain (FDTD) methodtopology optimizationUWB antenna
Type
Research Papers
Information
International Journal of Microwave and Wireless Technologies , Volume 11 , Issue 2 , March 2019 , pp. 190 - 198
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2018 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1.Hamalainen, M, Hovinen, V and Hentila, L (2004) UWB channel models. In Oppermann, I, Hamalainen, M and Iinatti, J (eds), UWB: Theory and Applications. Chichester, West Sussex, England: John Wiley & sons Ltd., pp. 11–12.Google Scholar
2.Ray, KP (2008) Design aspects of printed monopole antennas for ultra-wide band applications. International Journal of Antennas and Propagation 2008, 1–8.Google Scholar
3.Kim, J, Yoon, T, Kim, J and Choi, J (2005) Design of an ultra wide-band printed monopole antenna using FDTD and genetic algorithm. IEEE Microwave and Wireless Components Letters 15, 395–397.Google Scholar
4.Jie, S, Yang, XX, Sun, XM (2008) Optimization of printed ultra wide-band antenna using microgenetic algorithm. Microwave and Optical Technology Letters 50, 1289–1292.Google Scholar
5.Silva, CRM, Lins, HWC, Martins, SR, Barreto, ELF and d'Assuncao, AG (2012) A multiobjective optimization of a UWB antenna using a self organizing genetic algorithm. Microwave and Optical Technology Letters 54, 1824–1828.Google Scholar
6.Lizzi, L, Viani, F, Azaro, R and Massa, A (2008) A pso-driven spline-based shaping approach for ultrawideband (UWB) antenna synthesis. IEEE Transactions on Antennas and Propagation 56, 2613–2621.Google Scholar
7.Yang, XS, Ng, KT, Yeung, SH and Man, KF (2008) Jumping genes multiobjective optimization scheme for planar monopole ultrawideband antenna. IEEE Transactions on Antennas and Propagation 56, 3659–3666.Google Scholar
8.John, M and Ammann, MJ (2009) Antenna optimization with a computationally efficient multiobjective evolutionary algorithm. IEEE Transactions on Antennas and Propagation 57, 260–263.Google Scholar
9.Sigmund, O and Maute, K (2013) Topology optimization approaches. Structural and Multidisciplinary Optimization 48, 1031–1055.Google Scholar
10.Balanis, CA (2016) Antenna Theory: Analysis and Design, 4th Edn. Hoboken, NJ, USA: John Wiley & sons Ltd.Google Scholar
11.Ding, M, Jin, R and Geng, J (2007) Optimal design of ultra wideband antennas using a mixed model of 2-D genetic algorithm and finite-difference time-domain. Microwave and Optical Technology Letters 49, 3177–3180.Google Scholar
12.Ding, M, Jin, R, Geng, J, Wu, Q and Yang, G (2008) Auto-design of band-notched UWB antennas using mixed model of 2D GA and FDTD. Electronics Letter 44, 257–258.Google Scholar
13.Zhao, GH, Shen, WH and Wu, ML (2009) Ultra-wideband antenna design using FDTD and double population genetic algorithm. Microwave and Optical Technology Letters 51, 361–364.Google Scholar
14.Mirhadi, S and Soleimani, M (2015) Topology design of dual band antennas using binary particle swarm optimization and discrete Green's functions. Journal of Electromagnetics 35, 393–403.Google Scholar
15.Mirhadi, S, Komjani, N and Soleimani, M (2016) Ultra wideband antenna design using discrete Green's functions in conjunction with binary particle swarm optimisation. IET Microwaves, Antennas & Propagation 10, 184–192.Google Scholar
16.Teirab, AE, Jervase, JA and Mneina, SS (2013) Design of UWB Monopole antenna using Genetic Algorithms. 7th IEEE GCC Conference and Exhibition (GCC), Doha, 89–92.Google Scholar
17.Chen, YS and Chiu, YH (2016) Application of multiobjective topology optimization to miniature ultrawideband antennas with enhanced pulse preservation. IEEE Antennas and Wireless Propagation Letters 15, 842–845.Google Scholar
18.Bianchi, L, Dorigo, M, Gambardella, LM and Gutjahr, WJ (2009) A survey on metaheuristics for stochastic combinatorial optimization. Natural Computing 8, 239–287.Google Scholar
19.Kennedy, J and Eberhart, R (1995) Particle swarm optimization. Proceedings of IEEE International Conference on Neural Networks, Perth, Australia, 4, 1942–1948.Google Scholar
20.Banks, A, Vincent, J and Anyakoha, C (2007) A review of particle swarm optimization. Part I: background and development. Natural Computing 6, 467–484.Google Scholar
21.Banks, A, Vincent, J and Anyakoha, C (2008) A review of particle swarm optimization. Part II: hybridisation, combinatorial, multicriteria and constrained optimization, and indicative applications. Natural Computing 7, 109–124.Google Scholar
22.Kennedy, J and Eberhart, RC (1997) A discrete binary version of the particle swarm algorithm. Proceedings of IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation, Orlando, FL, USA.Google Scholar
23.Mirjalili, S and Lewis, A (2013) S-shaped versus V-shaped transfer functions for binary particle swarm optimization. Swarm and Evolutionary Computation 9, 1–14.Google Scholar
24.Mohamad, MS, Omatu, S, Deris, S, Yoshioka, M and Zainal, A (2009) An improved binary particle swarm optimisation for gene selection in classifying cancer classes. In Omatu, S, Rocha, MP, Bravo, J, Fernandez, F, Corchado, E, Bustillo, A and Corchado, JM (eds), Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living. IWANN 2009. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer, 5518, 495–502.Google Scholar
25.Alba, E (2005) Parallel Metaheuristics: A New Class of Algorithms. Hoboken, NJ, USA: John Wiley & sons Ltd.Google Scholar
26.Yee, K (1966) Numerical solution of initial boundary value problems involving Maxwell's equations in isotropic media. IEEE Transactions on Antennas and Propagation 14, 302–307.Google Scholar
27.Taflove, A and Hagness, SC (2005) Computational Electrodynamics: The Finite Difference Time Domain Method. Norwood, MA, USA: Artech House.Google Scholar
28.Elsherbeni, AZ and Demir, V (2016) The Finite-Difference Time-Domain Method for Electromagnetics with Matlab Simulations. Edison, NJ, USA: SCITECH Publishing, IET.Google Scholar
29.Roden, JA and Gedney, SD (2000) Convolution PML (CPML): an efficient FDTD implementation of the CFS–PML for arbitrary media. Microwave and Optical Technology Letters 27, 334–339.Google Scholar
30.Quintero, G, Zurcher, JF and Skrivervik, AK (2011) System fidelity factor: a new method for comparing UWB antennas. IEEE Transactions on Antennas and Propagation 59, 2502–2512.Google Scholar
31.Chandra, APTS and Meenakshi, M (2018) Joint optimisation of ground, feed shapes with material distributive topology of patch in UWB antennas using improved binary particle swarm optimisation. IET Microwaves, Antennas & Propagation 12, 1967–1972.Google Scholar