A Microstrip Antenna Design Using an Heuristic Algorithm

https://doi.org/10.22146/ijitee.56343

I Made Adhi Wiryawan(1*), Maria Veronica Astrid Wahyuningtyas(2), Anugerah Galang Persada(3), Dyonisius Dony Ariananda(4)

(1) Universitas Gadjah Mada
(2) Universitas Gadjah Mada
(3) Universitas Gadjah Mada
(4) Universitas Gadjah Mada
(*) Corresponding Author

Abstract


Microstrip antennas have several advantages. Some of them are that they have a compact shape and small dimensions. Moreover, they are also easy to be fabricated and easily connected as well as integrated with other electronic devices. Currently, designing antennas conventionally is limited by time, energy, and experience as well as expertise. As an alternative, a way to design antennas with revolutionary methods is developed using algorithms and computing. Algorithm design techniques can overcome limitations and automatically find practical solutions that usually take a long time to discover. The particle swarm optimization algorithm and a genetic algorithm can find solutions from microstrip antennas. Objective functions play an essential role in heuristic algorithms. With a proper objective function, simulation results are obtained on the particle swarm optimization algorithm with a return loss value of -47.837, VSWR of 1.0083, and impedance of 46.805 Ω. In contrast, the genetic algorithm obtains return loss of -16.157 dB, impedance of 50.233 Ω, and VSWR of 1.3687.

Keywords


Microstrip Antenna; Particle Swarm Optimization Algorithm; Heuristic Algorithm; Objective Function

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References

Balanis, Antenna Theory: Analysis and Design, Hoboken, USA: Wiley, 1982.

K.M. Luk, “The Importance of the New Developments in Antennas for Wireless Communications,” Proc. IEEE, Vol. 99, No. 12, pp. 2082-2084, 2011.

N. Jin and Y. Rahmat-Samii, “Parallel Particle Swarm Optimization and Finite-Difference Time-Domain (PSO/FDTD) Algorithm for Multiband and Wide-Band Patch Antenna Designs,” IEEE Transactions on Antennas and Propagation, Vol. 53, No. 11, pp. 3459-3468, 2005.

H.S. Girija, R. Sudhakar, K.M.A. Kadhar, T.S. Priya, S. Ramanathan, and G. Anand, "PSO Based Microstrip Patch Antenna Design for ISM Band," 6th International Conference on Advanced Computing & Communication Systems (ICACCS), 2020, pp. 1209-1214.

R. Umar, F. Mohammed, M. Deriche, and A.U.H. Sheikh, "Hybrid Cooperative Energy Detection Techniques in Cognitive Radio Networks," in Handb. Res. Software-Defined Cogn. Radio Technol. Dyn. Spectr. Manag., Vol. 1, N. Kaabouch, Ed, Pennsylvania, USA: IGI Global, 2012, pp. 1-37.

D.T. Pham and D. Karaboga, Intelligent Optimisation Techniques: Genetic Algorithms, Tabu Search, Simulated Annealing and Neural Networks, London, UK: Springer London, 2000.

D.F. Poveda-Pulla, J.V. Dominguez-Paute, L.F. Guerrero-Vásquez, P.A. Chasi-Pesantez, J.O. Ordoñez-Ordoñez, and P.E. Vintimilla-Tapia, "Optimization Designs in Patch Antennas Using Nature-inspired Metaheuristic Algorithms: A Review," 2018 IEEE Biennial Congress of Argentina, ARGENCON 2018, 2018, pp. 1-8.

Y. La Elo, F.Y. Zulkifli, and E.T. Rahardjo, "Design of Wideband Microstrip Antenna with Parasitic Element for 4G/LTE Application," 15th Int. Conf. on Quality in Research (QiR): Int. Symp. on Electrical and Computer Engineering, 2017, pp. 110-113.

M. Mitchell, An Introduction to Genetic Algorithms, Cambridge, USA: MIT Press, 1998.

(2018) "Bahan PCB umum," [Online], http://id.bestcircuitboard.com/ info/common-pcb-materials-28156842.html, access date: 26-Jul-2019.

S. Symeonidis (2018) "CST-MATLAB-API," [Online], https://zenodo.org/record/1237969#. XX7s9qTVLIU, access date: 25-Jul-2019.



DOI: https://doi.org/10.22146/ijitee.56343

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