An Analysis of Electrically Large Planar Dipole Antenna Arrays with an Efficient Hybrid MSMM/CG Method

Kawdungta, Supakit; Phongcharoenpanich, Chuwong; Torrungrueng, Danai

doi:10.1163/156939311794362894

Cited by 2 publications

(2 citation statements)

References 19 publications

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“…An EM problem refers to a large radiation problem with a vast search space. Prior research on large EM problems focused mostly on the problems of antenna array radiation [1,2] and of radio wave scattering of ships, aircraft, and rough surfaces. To obtain an optimal global solution to an EM problem requires high performance optimization algorithms, particularly for the EM problems associated with the antenna array radiation and the wave scattering.…”

Section: Introductionmentioning

confidence: 99%

Modified Fruit Fly Optimization Algorithm for Analysis of Large Antenna Array

Mhudtongon¹,

Phongcharoenpanich²,

Kawdungta³

2015

International Journal of Antennas and Propagation

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This research paper deals with the optimization of a large antenna array for maximum directivity using a modified fruit fly optimization algorithm (MFOA) with random search of two groups of swarm and adaptive fruit fly swarm population size. The MFOA is utilized to determine three nonlinear mathematical test functions, analysis of the optimal number of elements and optimal element spacing of the large antenna array, and analysis of nonuniform amplitude of antenna array. The numerical results demonstrate that the MFOA is effective in solving all test function and electromagnetic problems. The advantages of the proposed algorithm are ease of implementation, large search range, less processing time, and reduced memory requirement.

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Section: Introductionmentioning

confidence: 99%

Modified Fruit Fly Optimization Algorithm for Analysis of Large Antenna Array

Mhudtongon¹,

Phongcharoenpanich²,

Kawdungta³

2015

International Journal of Antennas and Propagation

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“…The second category is the FFT-based methods, which consist of sparse-matrix/canonical grid method and the IE-FFT. [9][10][11] The FFT-based methods are most suitable for densely packed structures in which there are unknowns associated with most of the grid points. Thirdly, the adaptive cross approximation (ACA) algorithm multilevel UV method also have been proposed recently, [12,13] which can be classified as the H-matrix-based method.…”

Section: Introductionmentioning

confidence: 99%

Compressed representation of matrix decomposition algorithm-singular value decomposition for full-wave analysis microstrip problems

Chen

et al. 2015

Journal of Electromagnetic Waves and Applications

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In order to efficiently solve large dense complex linear systems arising from electric field integral equations (EFIE) of electromagnetic problems, matrix decomposition algorithm-singular value decomposition (MDA-SVD) is used to accelerate the matrix-vector product (MVP) operations and decrease memory usage. Based on the symmetry of the impedance matrix resulting from the discretization of the EFIE, we introduce a compressed representation of MDA-SVD in this paper. We obtain a sparse representation of the far-field interaction parts of impedance matrix and perform a fast MVP operation. Numerical experiments demonstrate that the compressed representation of MDA-SVD can reduce both the MVP time and memory usage by around 50% with similar accuracy.

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An Analysis of Electrically Large Planar Dipole Antenna Arrays with an Efficient Hybrid MSMM/CG Method

Cited by 2 publications

References 19 publications

Modified Fruit Fly Optimization Algorithm for Analysis of Large Antenna Array

Modified Fruit Fly Optimization Algorithm for Analysis of Large Antenna Array

Compressed representation of matrix decomposition algorithm-singular value decomposition for full-wave analysis microstrip problems

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