Abstract
This paper presents a heuristic approach-based design of a symmetric linear antenna array (LAA) and a non-uniformly excited single-ring circular antenna array (CAA) to improve the far-field radiation characteristics. The far-field radiation pattern improves with lower side lobe level (SLL) which is essential for the reduction in interference in the entire side lobe regions. A recently proposed evolutionary algorithm called social spider algorithm (SSA) is applied to determine the optimum sets of current excitation weights and the inter-element spacing among the array elements to reduce the SLL. In this context, 10-element and 16-element LAA and 8-element, 10-element and 12-element CAA design examples are presented by optimizing the array parameters. The simulation results obtained by using SSA-based approach confirm a considerable improvement in SLL and some restricted improvement in half-power beam width with respect to the uniform array pattern and those of the recently reported literature.
Similar content being viewed by others
References
Babayigit B, Senyigit E (2017) Design optimization of circular antenna arrays using the Taguchi method. Neural Comput Appl 28:1443–1452
Ballanis CA (1997) Antenna theory analysis and design, 2nd edn. Willey, New York
Dib N (2016) Design of linear antenna arrays with low side lobes level using symbiotic organisms search. Prog Electromagn Res B 68:55–71
Dib N, Goudos S, Muhsen H (2010) Application of Taguchi’s optimization method and self-adaptive differential evolution to the synthesis of linear antenna arrays. Prog Electromagn Res 102:159–180
Eiben AE, Smit SK (2011) Parameter tuning for configuring and analyzing evolutionary algorithms. Swarm Evolut Comput 1(1):19–31
El-bages MS, Elsayed WT (2017) Social spider algorithm for solving the transmission expansion planning problem. Electr Power Syst Res 143:235–243
Elliott RS (2003) Antenna theory and design, Revised edn. IEEE Press, New Jersey
Guney K, Basbug S (2014) A parallel implementation of the seeker optimization algorithm for designing circular and concentric circular antenna arrays. Appl Soft Comput 22:287–296
Haupt RL (1995) An Introduction to genetic algorithm for electromagnetics. IEEE Antenna Propag Mag 37(2):7–15
Haupt RL, Werner DH (2007) Genetic algorithms in electromagnetics. IEEE Press, Willey, New York
Kennedy J, Eberhart R (1995) Particle swarm optimization. In: IEEE international conference on neural network, Perth, pp 1942–848
Khodier M, Al-Aqeel M (2009) Linear and circular array optimization: a study using particle swarm intelligence. Prog Electromagn Res B 15:347–373
Panduro M, Mendez A, Dominguez R, Romero G (2006) Design of non-uniform antenna arrays for side lobe reduction using the method of the genetic algorithm. Int J Electron Commun (AEU) 60(7):713–717
Ram G, Mandal D, Kar R, Ghoshal SP (2015) Circular and concentric circular antenna array synthesis using cat swarm optimization. IETE Tech Rev 32:204–217
Rattan M, Patterh MS, Sohi BS (2009) Optimization of circular antenna arrays of isotropic radiators using simulated annealing. Int J Microw Wirel Technol 1(05):441–446
Sharaqa A, Dib N (2014a) Circular antenna array synthesis using firefly algorithm. Int J RF Microw Comput Aided Eng 24:139–146
Sharaqa A, Dib N (2014b) Design of linear and elliptical antenna arrays using biogeography-based optimization. Arab J Sci Eng 39(4):2929–2939
Shihab M, Najjar Y, Khodier NDM (2008) Design of non-uniform circular antenna arrays using particle swarm optimization. J Electr Eng 59:216–220
Singh U, Kamal TS (2011) Design of non-uniform circular antenna arrays using biogeography-based optimization. IET Microw Antennas Propag 5(11):1365–1370
Yu JJQ, Li VOK (2015) A social spider algorithm for global optimization. Appl Soft Comput 30:614–627
Zhou A, Qu B-Y, Li H, Zhao S-Z, Suganthan PN, Zhang Q (2011) Multiobjective evolutionary algorithms: a survey of the state of the art. Swarm Evolut Comput 1(1):32–49
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare no conflicts of interest.
Human and Animal Rights
This article does not contain any studies with human participants or animals performed by any of the authors.
Informed Consent
Informed consent was obtained from all individual participants included in the study.
Rights and permissions
About this article
Cite this article
Das, A., Mandal, D., Ghoshal, S.P. et al. A Heuristic Approach to Design Linear and Circular Antenna Array for Side Lobe Reduction. Iran J Sci Technol Trans Electr Eng 43 (Suppl 1), 67–76 (2019). https://doi.org/10.1007/s40998-018-0147-4
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s40998-018-0147-4