Abstract
Aiming at the optimization of peak sidelobe levels (PSLL) of rectangular thinned arrays with fixed thinned rate and array aperture constraints. This paper proposes a new coding mapping model and an improved integer genetic algorithm (MIGA). Applying this algorithm to a symmetric rectangular array of 108 elements, the PSLL and the directivity coefficient was also improved. MIGA uses a simple and direct integer coding strategy for thinned arrays, and abandons conventional binary coding and real coding. Under the premise of ensuring the thinned rate, the possibility of infeasible solutions in the optimization process of the algorithm is reduced, and the number of optimization variables is effectively reduced.
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
References
Balanis, C.A.: Antenna Theory: Analysis and Design, pp. 283–293. Wiley-Interscience, Hoboken (2005)
Fabrizio, G.A.: High Frequency Over-The-Horizon Radar: Fundamental Principles, Signal Processing, and Practical Applications, pp. 28–39. McGraw-Hill Education, New York (2013)
Kumar, B.P., Branner, G.: Generalized analytical technique for the synthesis of unequally spaced arrays with linear, planar, cylindrical or spherical geometry. IEEE Trans. Antennas Propag. 53(2), 621–634 (2005)
Kumar, B.P., Branner, G.: Design of unequally spaced arrays for performance improvement. IEEE Trans. Antennas Propag. 47(3), 511–523 (1999)
Wang, X., Aboutanios, E., Amin, M.G.: Thinned array beampattern synthesis by iterative soft-thresholding-based optimization algorithms. IEEE Trans. Antennas Propag. 62(12), 6102–6113 (2014)
Rubio, J., Corcoles, J., Izquierdo, J.F., et al.: Array thinning of coupled antennas based on the orthogonal matching pursuit method and a spherical-wave expansion for far-field synthesis. IEEE Trans. Antennas Propag. 63(12), 5425–5432 (2015)
Plessis, W.P.D., Bin, Ghannam A.: Improved seeding schemes for interleaved thinned array synthesis. IEEE Trans. Antennas Propag. 62(11), 5906–5910 (2014)
Schlosser, E.R., Heckler, M.V.T., Machado, R., et al.: Synthesis and implementation aspects of linear antenna arrays with shaped radiation pattern for mobile communications. IET Microwaves Antennas Propag. 10(4), 442–452 (2016)
Clauzier, S., Mikki, S.M., Antar, Y.M.M.: Design of near-field synthesis arrays through global optimization. IEEE Trans. Antennas Propag. 63(1), 151–165 (2015)
Das, S., Suganthan, P.N.: Differential evolution: a survey of the state-of-the-art. IEEE Trans. Evol. Comput. 15(1), 4–31 (2011)
Oliveri, G., Rocca, P., Massa, A.: Differential evolution as applied to electromagnetics: advances, comparisons, and applications. In: Proceedings of the European Conference on Antennas and Propagation, pp. 3058–3059 (2012)
Basu, B., Mahanti, G.K.: A comparative study of Modified Particle Swarm Optimization, Differential Evolution and Artificial Bees Colony optimization in synthesis of circular array. In: Proceedings of the 2010 International Conference on Power, Control and Embedded Systems (ICPCES), pp. 1–5 (2010)
Jang, C.H., Hu, F., He, F., Li, J., Zhu, D.: Low-redundancy large linear arrays synthesis for aperture synthesis radiometers using particle swarm optimization. IEEE Trans. Antennas Propag. 64(6), 2179–2188 (2016)
Dorigo, M., Caro, G.D., Gambardella, L.M.: Ant algorithms for discrete optimization. Artif. Life 5(5), 137–172 (1999)
Dorigo, M., Caro, G.D., Gambardella, L.M.: Ant algorithms for discrete optimization. AR Financ. Life 5(5), 137–172 (1999)
Haupt, R.L.: Thinned arrays using genetic algorithms. IEEE Trans. Antennas Propag. 42(7), 993–999 (1994)
Chen, K., He, Z., Han, C.: A modified real GA for the thinned linear array synthesis with multiple constraints. IEEE Trans. Antennas Propag. 54(7), 2169–2173 (2006)
Peng, X.: Using genetic algorithm to optimize thinned planar arrays with arbitrary thinned factor. Telecommun. Eng. 47(3), 153–158 (2007)
Zeng, W., Liang, Y., Huang, W.: An optimum method for thinned planar array based on iterative FFT algorithm. Telecommun. Eng. 2011(11), 102–105 (2012)
Cen, L., Yu, Z.L., Ser, W., et al.: Linear aperiodic array synthesis using an improved genetic algorithm [J]. IEEE Trans. Antennas Propag. 60(2), 895–902 (2012)
Heng L, Hongwei Z, Weimei L I, et al. Constraint optimization of planar thinned array antenna. Telecommun. Eng. (2016)
Jiang, Y., et al.: Synthesis of uniformly excited concentric ring arrays using the improved integer GA. IEEE Antennas Wirel. Propag. Lett. 15(2016), 1124–1127 (2016)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Ethics declarations
This paper is funded by the International Exchange Program of Harbin Engineering University for Innovation-oriented Talents Cultivation.
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Liu, Q., Yuan, D., Wang, S. (2020). The Thinned Rectangular Array Based on Modified Interger Genetic Algorithm. In: Chen, X., Yan, H., Yan, Q., Zhang, X. (eds) Machine Learning for Cyber Security. ML4CS 2020. Lecture Notes in Computer Science(), vol 12487. Springer, Cham. https://doi.org/10.1007/978-3-030-62460-6_23
Download citation
DOI: https://doi.org/10.1007/978-3-030-62460-6_23
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-62459-0
Online ISBN: 978-3-030-62460-6
eBook Packages: Computer ScienceComputer Science (R0)