Abstract
Thinned concentric antenna array design is one of the most important electromagnetic optimization problems of current interest. This antenna must generate a pencil beam pattern in the vertical plane along with minimized side lobe level (SLL) and desired HPBW, FNBW and number of switched off elements. In this article, for the first time to the best of our knowledge, a multi-objective optimization framework for this design is presented. Four objectives described above we are treated as four distinct objectives that are to be optimized simultaneously. The multi-objective approach provides greater flexibility by yielding a set of equivalent final solutions from which the user can choose one that attains a suitable trade-off margin as per requirements. In this article, we have used a multi-objective algorithm of current interest namely the NSGA-II algorithm. There are two types of design, one with uniform inter-element spacing fixed at 0.5λ and the other with optimum uniform inter-element spacing. Extensive simulation and results are given with respect to the obtained HPBW, SLL, FNBW and number of switched off elements and compared with two state-of-the-art single objective optimization methods namely DE and PSO.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Elliott, R.S.: Antenna Theory and Design, 2nd edn. John Wiley, New Jersey (2003)
Dessouky, M.I., Sharshar, H.A., Albagory, Y.A.: Efficient sidelobe reduction technique for small-sized concentric circular arrays. Progress in Electromagnetics Research 65, 187–200 (2006)
Dessouky, M.I., Sharshar, H.A., Albagory, Y.A.: Optimum normalized-Gaussian tapering window for side lobe reduction in uniform concentric circular arrays. Progress in Electromagnetics Research 69, 35–46 (2007)
Zhao, S.Z., Suganthan, P.N.: Two-lbests Based Multi-objective Particle Swarm Optimizer. Engineering Optimization 43(1), 1–17 (2011), doi:10.1080/03052151003686716
Qu, B.Y., Suganthan, P.N.: Multi-Objective Evolutionary Algorithms based on the Summation of Normalized Objectives and Diversified Selection. Information Sciences 180(17), 3170–3181 (2010)
Goldberg, D.E.: Genetic Algorithms in Search Optimization and Machine Learning, vol. 41. Addison-Wesley (1989)
Kennedy, J., Eberhart, R.C.: Particle swarm optimization. In: Proc. IEEE Conf. Neural Networks IV, Piscataway, NJ (1995)
Zhang, Q., Li, H.: MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition. IEEE Trans. Evolutionary Computation, 712–731 (2007)
Das, S., Suganthan, P.N.: Differential Evolution: A Survey of the State-of-the-Art. IEEE Trans. Evolutionary Computation 15(1), 4–31 (2011)
Storn, R., Price, K.V.: Differential evolution - A simple and efficient adaptive scheme for global optimization over continuous spaces. Technical Report TR-95-012, ICSI (1995), http://http.icsi.berkeley.edu/~storn/litera.html
Deb, K., Pratap, A., Garwal, S.A., Meyarivan, T.: A fast and elitist multi-objective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation 6(2), 182–197 (2002)
Pal, S., Das, S., Basak, A., Suganthan, P.N.: Synthesis of difference patterns for monopulse antennas with optimal combination of array-size and number of subarrays - A multi-objective optimization approach. Progress in Electromagnetics Research, PIER B 21, 257–280 (2010)
Pal, S., Qu, B.Y., Das, S., Suganthan, P.N.: Optimal Synthesis of Linear Antenna Arrays with Multi-objective Differential Evolution. Progress in Electromagnetics Research, PIER B 21, 87–111 (2010)
Zhou, A., Qu, B.-Y., Li, H., Zhao, S.-Z., Suganthan, P.N., Zhang, Q.: Multi-objective Evolutionary Algorithms: A Survey of the State-of-the-art. Swarm and Evolutionary Computation 1(1), 32–49 (2011)
Abido, M.A.: A novel multi-objective evolutionary algorithm for environmental/economic power dispatch. Electric Power Systems Research 65, 71–81 (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Islam, S.M., Ghosh, S., Roy, S., Zhao, S., Suganthan, P.N., Das, S. (2011). Synthesis and Design of Thinned Planar Concentric Circular Antenna Array - A Multi-objective Approach. In: Panigrahi, B.K., Suganthan, P.N., Das, S., Satapathy, S.C. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2011. Lecture Notes in Computer Science, vol 7077. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27242-4_22
Download citation
DOI: https://doi.org/10.1007/978-3-642-27242-4_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27241-7
Online ISBN: 978-3-642-27242-4
eBook Packages: Computer ScienceComputer Science (R0)