Abstract
In this paper, a recently developed meta-heuristic optimization algorithm namely Cuckoo Search (CS) is introduced for analyzing a 4 × 4 dipole planar array (DPA) taking mutual coupling into account. The CS algorithm is employed to optimize the DPA using the multi-objective fitness function considering the Directivity (D), Half Power Beam Width (HPBW), and Front to Side Lobe Level (FSLL) of the antenna. The array is simulated using self developed Method of Moments (MOM) codes using MATLAB (7.8.0.347) and verified using standard MININEC (14.0) software package. Finally, the optimized results are compared with the results of other antenna arrays obtained using various other popular optimization techniques to evaluate the performance of the DPA. The computation time using CS is much less than PSO and 4 × 4 DPA provides higher D with low FSLL.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Balanis, C.A.: Antenna Theory: Analysis and Design, 3rd edn. Wiley, New York (2005)
Robinson, J., Sammi, Y.R.: Particle swarm optimization in electromagnetics. IEEE Trans. Antenna Propag. 52(2), 397–407 (2004)
Baskar, S., Alphones, A., Suganthan, P.N., Liang, J.J.: Design of Yagi-Uda antennas using comprehensive learning particle swarm optimization. IEE Proc. Microwaves Antennas Propag. 152(5), 340–346 (2005)
Khodier, M., Al-Aqeel, M.: Linear and circular array optimization a study using particle swarm intelligence. Prog. Electromagnet. Res. B 15, 347–373 (2009)
Zuniga, V., Erdogan, A.T., Arslan, T.: Adaptive radiation pattern optimization for antenna arrays by phase perturbations using particle swarm optimization. In: IEEE Proceedings of NASA/ESA Conference on Adaptive Hardware and Systems, pp. 209–214 (2010)
Wang, Y., Gao, S., Yu, H., Tang, Z.: Synthesis of antenna array by complex-valued genetic algorithm. Int. J. Comput. Sci. Netw. Secur. 11(1) (2011)
Mangaraj, B.B., Misra, I.S., Sanyal, S.K.: Application of bacteria foraging algorithm for the design optimization of multi-objective Yagi-Uda array. Int. J. RF Microwave Comput. Aided Eng. 21(1), 25–35 (2011)
Joshi, P., Jain, N., Dubey, R.: Optimization of linear antenna array using genetic algorithm for reduction in side lobs levels and improving directivity based on modulating parameter M. Int. J. Innovative Res. Comput. Commun. Eng. 1(7), 1475–1482 (2013)
Kadri, B., Brahimi, M., Bousserhane, I.K., Bousahla, M., Bendimerad, F.T.: Patterns antennas arrays synthesis based on adaptive particle swarm optimization and genetic algorithms. Int. J. Comput. Sci. Issues 10(1)(2), 21–26 (2013)
Vishwakarma, M., Cecil, K.: Synthesis of linear antenna array using PSO to reduce side lobe level for WLAN. Int. J. Eng. Innovative Technol. (IJEIT) 3(7), 118–120 (2014)
Yang, X.-S., Deb, S.: Engineering optimisation by cuckoo search. Int. J. Math. Model. Numer. Optim. 1(4), 330–343 (2010)
Yang, X.S., Deb, S.: Cuckoo Search via Lévy Flights Proceeings of World Congress on Nature & Biologically Inspired Computing (NaBIC 2009, India), pp. 210–214. IEEE Publications, USA (2009)
Yang, X.S., Deb, S.: Nature-Inspired Metaheuristic Algorithms. Luniver press, Bristol (2008)
Pradhan, H., Mangaraj, B.B., Misra, I.S.: Designing and optimizing a mutually coupled planar array antenna using PSO for UHF application. In: IEEE Conference on Applied Electromagnetic Conference (AEMC, 2013), pp. 18–20, India (2013)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer India
About this paper
Cite this paper
Pradhan, H., Mangaraj, B.B., Misra, I.S. (2015). Optimum Design and Performance Analysis of Dipole Planar Array Antenna with Mutual Coupling Using Cuckoo Search Algorithm. In: Jain, L., Behera, H., Mandal, J., Mohapatra, D. (eds) Computational Intelligence in Data Mining - Volume 2. Smart Innovation, Systems and Technologies, vol 32. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2208-8_22
Download citation
DOI: https://doi.org/10.1007/978-81-322-2208-8_22
Published:
Publisher Name: Springer, New Delhi
Print ISBN: 978-81-322-2207-1
Online ISBN: 978-81-322-2208-8
eBook Packages: EngineeringEngineering (R0)