Optimal Design of Concentric Circular Antenna Array Using Particle Swarm Optimization with Constriction Factor Approach

Mandal, Durbadal; Ghoshal, Sakti Prasad; Bhattacharjee, Anup Kumar

doi:10.5120/353-534

Cited by 6 publications

(4 citation statements)

References 8 publications

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“…Finally, the modified velocity (7) of j th component of i th particle is expressed as follows: The global search ability of IPSO may also be enhanced by introducing "craziness" in the velocity expression (9), as explained below. This modified IPSO is termed as CRPSO [17][18].…”

Section: Craziness Based Particle Swarm Optimization (Crpso)mentioning

confidence: 99%

Thinned concentric hexagonal antenna array synthesis using Craziness based Particle Swarm Optimization

Bera

Mandal

Ghoshal

et al. 2013

2013 International Conference on Microwave and Photonics (ICMAP)

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This paper describes optimal thinning of Concentric Hexagonal Array (CHA) of uniformly excited isotropic antennas which can generate directive beam with minimum relative Side Lobe Level (SLL). The Craziness Based Particle Swarm Optimization (CRPSO) method, which represents a new approach for optimization problems in electromagnetics, is used in the optimization process. The CRPSO is used to determine an optimal set of 'ON-OFF' elements that provide a radiation pattern with maximum SLL reduction. The simulation results show that the number of antenna array elements can be brought down to 60% of total isotropic elements with simultaneous reduction in SLL with an approximately fixed first null beam width (FNBW). Conventional Particle Swarm Optimization (PSO) is also adopted to compare the results of above CRPSO.

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Section: Craziness Based Particle Swarm Optimization (Crpso)mentioning

confidence: 99%

Thinned concentric hexagonal antenna array synthesis using Craziness based Particle Swarm Optimization

Bera

Mandal

Ghoshal

et al. 2013

2013 International Conference on Microwave and Photonics (ICMAP)

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“…Furthermore, uniform CCAAs provide invariant azimuth angle coverage, which makes CCAAs the favored choice in the direction of arrival applications. Therefore, recently, the design of circular antenna arrays with minimum side lobes levels has been a subject of very much interest in the literature [2][3][4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Synthesis of thinned concentric circular antenna arrays using teaching-learning-based optimization

Dib

Sharaqa

2013

Int J RF and Microwave Comp Aid Eng

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In this article, the design of thinned concentric circular antenna arrays (CCAAs) of isotropic radiators with optimum side lobe level (SLL) reduction is studied. The newly proposed global evolutionary optimization method; namely, the teaching‐learning‐based optimization (TLBO) is used to determine an optimum set of turned ON elements of thinned CCAAs that provides a radiation pattern with optimum SLL reduction. The TLBO represents a new algorithm for optimization problems in electromagnetics and antennas. It is shown that the TLBO provides results that are somewhat better than those obtained using other evolutionary algorithms, like the firefly algorithm and biogeography based optimization. © 2013 Wiley Periodicals, Inc. Int J RF and Microwave CAE 24:443–450, 2014.

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“…Existing approaches, such as [11,12], combine separate objectives (which are often conflicting) through a weighted linear sum into a single aggregated objective function. The weighted sum method is, however, very often subjective, and the solution is sensitive to the values (more precisely, the relative values) of the weights specified.…”

Section: Introductionmentioning

confidence: 99%

“…Mandal et al [11] applied a Craziness-based PSO (CRPSO) and CRPSO with Wavelet Mutation (CRPSOWM) to the process of optimal designing three-ring concentric circular antenna arrays (CCAAs) focused on Sidelobe Level (SLL) reduction. Mandal et al [12] investigated the SLL reductions without and with central element feeding in various designs of three-ring concentric circular antenna arrays (CCAA) using PSO with Constriction Factor Approach (PSOCFA). Pathak et al [13] employed a modified PSO algorithm for thinning large multiple concentric circular ring arrays of uniformly excited isotropic antennas to generate a pencil beam in the vertical plane with minimum relative side lobe level.…”

Section: Introductionmentioning

confidence: 99%

Decomposition-Based Evolutionary Multi-Objective Optimization Approach to the Design of Concentric Circular Antenna Arrays

Biswas¹,

Bose²,

Das³

et al. 2013

PIER B

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Abstract-We investigate the design of Concentric Circular Antenna Arrays (CCAAs) with λ/2 uniform inter-element spacing, non-uniform radial separation, and non-uniform excitation across different rings, from the perspective of Multi-objective Optimization (MO). Unlike the existing single-objective design approaches that try to minimize a weighted sum of the design objectives like Side Lobe Level (SLL) and principal lobe Beam-Width (BW), we treat these two objectives individually and use Multiobjective Evolutionary Algorithm based on Decomposition (MOEA/D) with Differential Evolution (DE), called MOEA/D-DE, to achieve the best tradeoff between the two objectives. Unlike the single-objective approaches, the MO approach provides greater flexibility in the design by yielding a set of equivalent final (nondominated) solutions, from which the user can choose one that attains a suitable trade-off margin as per requirements. We illustrate that the best compromise solution attained by MOEA/D-DE can comfortably outperform state-of-the-art variants of single-objective algorithms like Particle Swarm Optimization (PSO) and Differential Evolution. In addition, we compared the results obtained by MOEA/D-DE with those obtained by one of the most widely used MO algorithm called NSGA-2 and a multi-objective DE variant, on the basis of the Rindicator, hypervolume indicator, and quality of the best tradeoff solutions obtained. Our simulation results clearly indicate the superiority of the design based on MOEA/D-DE.

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Optimal Design of Concentric Circular Antenna Array Using Particle Swarm Optimization with Constriction Factor Approach

Cited by 6 publications

References 8 publications

Thinned concentric hexagonal antenna array synthesis using Craziness based Particle Swarm Optimization

Thinned concentric hexagonal antenna array synthesis using Craziness based Particle Swarm Optimization

Synthesis of thinned concentric circular antenna arrays using teaching-learning-based optimization

Decomposition-Based Evolutionary Multi-Objective Optimization Approach to the Design of Concentric Circular Antenna Arrays

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