Hostname: page-component-78c5997874-94fs2 Total loading time: 0 Render date: 2024-11-13T06:48:59.543Z Has data issue: false hasContentIssue false
  • English
  • Français

Chebyshev-based array for beam steering and null positioning using modified ant lion optimization

Published online by Cambridge University Press:  12 March 2021

Hrudananda Pradhan ,
Biswa Binayak Mangaraj Open the ORCID record for Biswa Binayak Mangaraj [Opens in a new window]  and
Santanu Kumar Behera
Hrudananda Pradhan
Affiliation:
Department of ETCE, Veer Surendra Sai University of Technology, Burla, Odisha768018, India
Biswa Binayak Mangaraj*
Affiliation:
Department of ETCE, Veer Surendra Sai University of Technology, Burla, Odisha768018, India
Santanu Kumar Behera
Affiliation:
Department of ECE, National Institute of Technology, Rourkela, Odisha769008, India
*
Author for correspondence: Biswa Binayak Mangaraj, E-mail: bbmangaraj@yahoo.co.in
Get access Rights & Permissions [Opens in a new window]

Abstract

A modified ant lion optimization (MALO) algorithm is proposed in this article, for the synthesis of Chebyshev-based arrays by optimizing amplitudes and phases of excitations, and element spacings. Modification in ant lion optimization is achieved by hybridizing it with chaotic particle swarm optimization. The optimization process is employed to obtain an array pattern with the least possible sidelobe level. Close-in sidelobe level minimization for optimum pattern synthesis is suggested. Instead of only steering the main beam towards the desired direction presented by some popular optimization methods, the beam steering along with null positioning in other specified direction is also achieved employing MALO. Considering the arrays with the same design parameters and the results of other optimization algorithms, the performance of MALO is evaluated. The results show that MALO provides considerable improvements in an array pattern compared to the arrays optimized using other optimization algorithms and the uniform array.

Keywords

Chebyshev arraysmart antenna arraybeam-steeringnull positioningmodified ant lion optimization
Type
Computer Aided Design
Information
International Journal of Microwave and Wireless Technologies , Volume 14 , Issue 2 , March 2022 , pp. 143 - 157
Check for updates
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press in association with the European Microwave Association

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Balanis, CA (2016) Antenna Theory: Analysis and Design. 3rd Edn. New York: John Willy & Sons.Google Scholar
Srar, JA, Chung, KS and Mansour, A (2010) Adaptive array beamforming using a combined LMS-LMS algorithm. IEEE Transactions on Antennas and Propagation 58, 3545–3557.CrossRefGoogle Scholar
Recioui, A and Azrar, A (2007) Use of genetic algorithms in linear and planar antenna array synthesis based on Schelkunoff method. Microwave and Optical Technology Letters 49, 1619–1623.CrossRefGoogle Scholar
Panduro, MA, Reyna, A and Camacho, J (2009) Design of scannable linear arrays with amplitude and phase optimisation for maximum side lobe level reduction. International Journal of Electronics 96, 323–329.CrossRefGoogle Scholar
Panduro, MA, Brizuela, CA, Garza, J, Hinojosa, S and Reyna, A (2013) A comparison of NSGA-II, DEMO, and EM-MOPSO for the multi-objective design of concentric rings antenna arrays. Journal of Electromagnetic Waves and Applications 27, 1100–1113.CrossRefGoogle Scholar
Panduro, MA (2007) Design of coherently radiating structures in a linear array geometry using genetic algorithms. AEU International Journal of Electronics and Communications 61, 515–520.CrossRefGoogle Scholar
Panduro, MA, Mendez, AL, Dominguez, R and Romero, G (2006) Design of non-uniform circular antenna arrays for side lobe reduction using the method of genetic algorithms. AEU International Journal of Electronics and Communications 60, 713–717.CrossRefGoogle Scholar
Panduro, MA, Brizuela, CA and Covarrubias, DH (2008) Design of electronically steerable linear arrays with evolutionary algorithms. Applied Soft Computing 8, 46–54.CrossRefGoogle Scholar
Panduro, MA, Covarrubias, DH, Brizuela, CA and Marante, FR (2005) A multi-objective approach in the linear antenna array design. AEU International Journal of Electronics and Communications 59, 205–212.CrossRefGoogle Scholar
Rajo-Lglesias, E and Quevedo-Teruel, O (2007) Linear array synthesis using an ant colony-optimization-based algorithm. IEEE Transactions on Antennas and Propagation 49, 70–79.CrossRefGoogle Scholar
Al-Azza, AA, Al-Jodah, AA and Harack-iewicz, FJ (2019) Spider monkey optimization: a novel technique for antenna optimization. IEEE Antennas and Wireless Propagation Letters 15, 1016–1019.CrossRefGoogle Scholar
Subhashini, KR (2019) Antenna array synthesis using a newly evolved optimization approach: strawberry algorithm. Journal of Electrical Engineering 70, 317–322.CrossRefGoogle Scholar
Khodier, MM and Al-Aqeel, M (2009) Linear and circular array optimization: a study using particle swarm intelligence. Progress in Electromagnetics Research B 15, 347–373.CrossRefGoogle Scholar
Khodier, M and Saleh, G (2010) Beamforming and power control for interference reduction in wireless communications using particle swarm optimization. AEU International Journal of Electronics and Communications 64, 489–502.CrossRefGoogle Scholar
Goudos, SK, Moysiadou, V, Samaras, T, Siakavara, K and Sahalos, JN (2010) Application of a comprehensive learning particle swarm optimizer to unequally spaced linear array synthesis with sidelobe level suppression and null control. IEEE Antennas and Wireless Propagation Letters 9, 125–129.CrossRefGoogle Scholar
Mikki, SM and Kishk, AA (2006) Quantum particle swarm optimization for electromagnetics. IEEE Transactions on Antennas and Propagation 54, 2764–2775.CrossRefGoogle Scholar
Muralidharan, R, Vallavaraj, A, Mahanti, GK and Patidar, H (2017) QPSO For failure correction of linear array of mutually coupled parallel dipole antennas with desired sidelobe level and return loss. Journal of King Saud University – Engineering Sciences 29, 112–117.CrossRefGoogle Scholar
Yue, Y, Cao, L, Hu, J, Cai, S, Hang, B and Wu, H (2019) A novel hybrid location algorithm based on chaotic particle swarm optimization for Mobile position estimation. IEEE Access 7, 58541–58552.CrossRefGoogle Scholar
Li, X, Duan, B, Zhou, J, Song, L and Zhang, Y (2017) Planar array synthesis for optimal microwave power transmission with multiple constraints. IEEE Antennas and Wireless Propagation Letters 16, 70–73.CrossRefGoogle Scholar
Mirhadi, S and Soleimani, M (2015) Topology design of dual-band antennas using binary particle swarm optimization and discrete Green's functions. Electromagnetics 35, 393–403.CrossRefGoogle Scholar
Saxena, P and Kothari, A (2016) Ant lion optimization algorithm to control side lobe level and null depths in linear antenna array. AEU International Journal of Electronics and Communications 70, 1339–1349.CrossRefGoogle Scholar
Dib, N, Amaireh, A and Al-Zoubi, A (2019) On the optimal synthesis of elliptical antenna arrays. International Journal of Electronics 106, 121–133.CrossRefGoogle Scholar
Das, A, Mandal, D and Kar, R (2021) An optimal circular antenna array design considering the mutual coupling employing ant lion optimization. International Journal of Microwave and Wireless Technologies 13, 164–172.CrossRefGoogle Scholar
Dib, N, Goudos, S and Muhsen, H (2010) Application of Taguchi's optimization method and self-adaptive differential evolution to the synthesis of linear antenna arrays. Progress in Electromagnetics Research 102, 159–180.CrossRefGoogle Scholar
Sharaqa, A and Dib, N (2014) Design of linear and elliptical antenna arrays using biogeography based optimization. Arabian Journal for Science and Engineering 39, 2929–2939.CrossRefGoogle Scholar
Pappula, L and Ghosh, D (2014) Linear antenna array synthesis using cat swarm optimization. AEU International Journal of Electronics and Communications 68, 540–549.CrossRefGoogle Scholar
Rattan, M, Patterh, MS and Sohi, BS (2009) Optimization of circular antenna arrays of isotropic radiators using simulated annealing. International Journal of Microwave and Wireless Technologies 1, 441–446.CrossRefGoogle Scholar
Dib, N (2016) Design of linear antenna arrays with low side lobes level using symbiotic organisms search. Progress in Electromagnetics Research B 68, 55–71.CrossRefGoogle Scholar
Singh, U and Salgotra, R (2018) Synthesis of linear antenna array using flower pollination algorithm. Neural Computing and Applications 29, 435–445.CrossRefGoogle Scholar
Zhang, C, Fu, X, Ligthart, LP, Peng, S and Xie, M (2018) Synthesis of broadside linear aperiodic arrays with sidelobe suppression and null steering using whale optimization algorithm. IEEE Antennas and Wireless Propagation Letters 17, 347–350.CrossRefGoogle Scholar
Das, A, Mandal, D, Ghoshal, SP and Kar, R (2018) Moth flame optimization based design of linear and circular antenna array for side lobe reduction. International Journal of Numerical Modelling 32, 1–15.Google Scholar
Jamunaa, D, Mahanti, GK and Hasoon, FN (2020) Optimized inter-element arc spacing and ring radius in the synthesis of phase-only reconfigurable concentric circular array antenna using various evolutionary algorithms. Electromagnetics 40, 104–118.CrossRefGoogle Scholar
Sallam, T and Attiya, AM (2020) Low sidelobe cosecant-squared pattern synthesis for large planar array using genetic algorithm. Progress in Electromagnetics Research M 93, 23–34.CrossRefGoogle Scholar
Yoshimoto, E and Heckler, MVT (2019) Optimization of planar antenna arrays using the firefly algorithm. Journal of Microwaves Optoelectronics and Electromagnetic Applications 18, 126–140.CrossRefGoogle Scholar
Maldonado, AR and Panduro, MA (2015) Synthesis of concentric ring antenna array for a wide isoflux pattern. International Journal of Numerical Modelling 28, 433–441.CrossRefGoogle Scholar
Greda, LA, Winterstein, A, Lemes, DL and Heckler, MVT (2019) Beamsteering and beamshaping using a linear antenna array based on particle swarm optimization. IEEE Access 7, 1–12.CrossRefGoogle Scholar
El-Hassan, MA, Awadalla, KH and Hussein, KF (2020) Shaped-beam circularly polarized antenna array of linear elements for satellite and SAR applications. Wireless Personal Communications 110, 605–619.CrossRefGoogle Scholar
Li, WT, Shi, XW, Hei, YQ, Liu, SF and Zhu, J (2010) A hybrid optimization algorithm and its application for conformal array pattern synthesis. IEEE Transactions on Antennas and Propagation 58, 3401–3406.CrossRefGoogle Scholar
Chaker, H, Abri, M and Badaoui, HA (2016) Hybrid evolutionary algorithm genetical swarm optimization for 1D and 2D annular ring unequally spaced antennas arrays synthesis. Electromagnetics 36, 485–503.CrossRefGoogle Scholar
Omar, OK, Debbat, F and Stambouli, AB (2012) Null steering beamformer using hybrid algorithm based on honey bees mating optimization and tabu search in adaptive antenna array. Progress in Electromagnetics Research C 32, 65–80.CrossRefGoogle Scholar
Amaireh, AA, Al-Zoubi, AS and Dib, NI (2019) Sidelobe-level suppression for circular antenna array via new hybrid optimization algorithm based on ant lion and grasshopper optimization algorithms. Progress in Electromagnetics Research C 93, 49–63.CrossRefGoogle Scholar
Prabhakar, D and Satyanarayana, M (2019) Side lobe pattern synthesis using hybrid SSWOA algorithm for conformal antenna array. Engineering Science and Technology, an International Journal 22, 1169–1174.CrossRefGoogle Scholar
Mirjalili, S (2015) The ant lion optimizer. Advances in Engineering Software 83, 80–98.CrossRefGoogle Scholar
Eberhart, R and Kennedy, J (1995) A New Optimizer Using Particle Swarm Theory. Proceedings of the Sixth International Symposium on Micro Machine and Human Science, 39–43.CrossRefGoogle Scholar
Shi, Y and Eberhart, R (1998) A modified particle swarm optimizer. IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence, 69–73.CrossRefGoogle Scholar
Alatas, B, Akin, E and Ozer, AB (2009) Chaos embedded particle swarm optimization algorithms. Chaos, Solitons and Fractals 40, 1715–1734.CrossRefGoogle Scholar
Castorina, G, Donato, LD, Morabito, AF, Isernia, T and Sorbello, G (2016) Analysis and design of a concrete embedded antenna for wireless monitoring applications. IEEE Antennas and Propagation Magazine 58, 76–93.CrossRefGoogle Scholar
Mauro, GS, Castorina, G, Morabito, AF, Donato, LD and Sorbello, G (2016) Effects of lossy background and rebars on antennas embedded In concrete structures. Microwave and Optical Technology Letters 58, 2653–2656.CrossRefGoogle Scholar