An Improved Particle Swarm Optimization Algorithm for Pattern Synthesis of Phased Arrays

Li, Wentao; Shi, Xiaowei; Hei, and Yong-Qiang

doi:10.2528/pier08030904

Cited by 93 publications

(69 citation statements)

References 29 publications

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“…Several classical PSO schemes can be considered depending on how and when particles move and cooperate among themselves, i.e., depending on the application of the update rules given in (10)- (11). Among the classical PSO schemes, the one with asynchronous updates of the swarm and a global topology has been considered in this work as a reference, as it has proven to be the most efficient one in computational terms [18,19,22].…”

Section: Classical Psomentioning

confidence: 99%

“…In [17], several PSO algorithms have been applied to the design of nonuniform and thinned arrays. Several modified PSO algorithms can also be found applied to the pattern synthesis of circular arrays or phased arrays [10,11]. Furthermore, classical and hybrid PSO schemes, [18] and [19] respectively, have also been applied by the authors to linear array synthesis.…”

Section: Introductionmentioning

confidence: 99%

“…New modified PSO-based schemes are continuously emerging in the literature in an attempt to improve the overall performance of classical schemes in one direction: to speed up convergence preserving diversity and increasing exploration abilities. Different modified versions of the classical PSO algorithm can be found applied to array synthesis [10,11], patch antenna design [12] or planar multilayered absorbers design [13]. In fact, there are some schemes that mix up heuristic GA and PSO optimization algorithms [14,15].…”

Section: Introductionmentioning

confidence: 99%

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Synthesis of Planar Arrays Using a Modified Particle Swarm Optimization Algorithm by Introducing a Selection Operator and Elitism

Diego¹,

López²,

Basterrechea³

2009

PIER

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Abstract-A modified particle swarm optimization (PSO) algorithm applied to planar array synthesis considering complex weights and directive element patterns is presented in this paper. The modern heuristic classical PSO scheme with asynchronous updates of the swarm and a global topology has been modified by introducing tournament selection, one of the most effective selection strategies performing in genetic algorithms the equivalent role to natural selection, and elitism. The modified PSO proposed combines the abilities of the classical PSO to explore the search space and the pressure exerted by the selection operator to speed up convergence. Regarding the optimization problem, the synthesis of the feeds for rectangular planar arrays consisting of microstrip patches or subarrays of microstrip patches is considered. Results comparing the performance and limitations of classical and modified PSO-based schemes are included considering both test functions and planar array complex synthesis to best meet certain far-field radiation pattern restrictions given in terms of 3D-masks. Finally, representative synthesis results for sector antennas for worldwide interoperability for microwave access (WiMAX) applications are also included and discussed.

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Section: Classical Psomentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Synthesis of Planar Arrays Using a Modified Particle Swarm Optimization Algorithm by Introducing a Selection Operator and Elitism

Diego¹,

López²,

Basterrechea³

2009

PIER

View full text Add to dashboard Cite

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“…Several papers exist in the literature that address this design problem [1][2][3][4][5]. The increased use of such arrays creates more challenges upon the antenna engineers.…”

Section: Introductionmentioning

confidence: 99%

Application of Taguchi's Optimization Method and Self-Adaptive Differential Evolution to the Synthesis of Linear Antenna Arrays

Dib¹,

Goudos²,

Muhsen³

2010

PIER

102

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Abstract-In this paper, the problem of designing linear antenna arrays for specific radiation properties is dealt with. The design problem is modeled as a single optimization problem. The objectives of this work are to minimize the maximum side lobe level (SLL) and perform null steering for isotropic linear antenna arrays by controlling different parameters of the array elements (position, amplitude, and phase). The optimization is performed using two techniques: Taguchi's optimization method and the self-adaptive differential evolution (SADE) technique. The advantage of Taguchi's optimization technique is the ability of solving problems with a high degree of complexity using a small number of experiments in the optimization process Taguchi's method is easy to implement and converges to the desired goal quickly in comparison with gradient-based methods and particle swarm optimization (PSO) Results obtained using Taguchi's method are in very good agreement with those obtained using the SADE technique.

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“…PSO [10] is an evolutionary algorithm and has been successfully used in the design of antenna arrays [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Combination of Inverse Fast Fourier Transform and Modified Particle Swarm Optimization for Synthesis of Thinned Mutually Coupled Linear Array of Parallel Half-Wave Length Dipole Antennas

Pathak¹,

Basu²,

Mahanti³

2011

PIER M

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Abstract-In this paper, the authors propose a method based on the combination of inverse fast Fourier transform (IFFT) and modified particle swarm optimization for side lobe reduction of a thinned mutually coupled linear array of parallel half-wave length dipole antennas with specified maximum return loss. The generated pattern is broadside (φ = 90 degree) in the horizontal plane. Mutual coupling between the half-wave length parallel dipole antennas has been taken care of by induced emf method considering the current distribution on each dipole to be sinusoidal. Directivity, first null beamwidth (FNBW), return loss of the thinned array is also calculated and compared with a fully populated array. Two cases have been considered, one with symmetric excitation voltage distribution and the other with asymmetric one. The method uses the property that for a linear array with uniform element spacing, an inverse Fourier transform relationship exists between the array factor and the element excitations. Inverse Fast Fourier Transform is used to calculate the array factor, which in turn reduces the computation time significantly. The element pattern of half-wave length dipole antenna has been

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An Improved Particle Swarm Optimization Algorithm for Pattern Synthesis of Phased Arrays

Cited by 93 publications

References 29 publications

Synthesis of Planar Arrays Using a Modified Particle Swarm Optimization Algorithm by Introducing a Selection Operator and Elitism

Synthesis of Planar Arrays Using a Modified Particle Swarm Optimization Algorithm by Introducing a Selection Operator and Elitism

Application of Taguchi's Optimization Method and Self-Adaptive Differential Evolution to the Synthesis of Linear Antenna Arrays

Combination of Inverse Fast Fourier Transform and Modified Particle Swarm Optimization for Synthesis of Thinned Mutually Coupled Linear Array of Parallel Half-Wave Length Dipole Antennas

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