Application of Particle Swarm Algorithm to the Optimization of Unequally Spaced Antenna Arrays

Lee, Kun-Chou; Jhang, Jhen Yan

doi:10.1163/156939306779322747

Cited by 83 publications

(56 citation statements)

References 10 publications

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“…When solving (8) numerically, it might be difficult to recognize this feature of the true optimum, since the optimal element locations will strictly speaking never be among the proposed potential positions, the r j 's in (6). The solution of (8) will have in general almost equally spaced clusters of contiguous nonzero components in the w-part of the optimal x.…”

Section: Overview Of the Optimal Solutionmentioning

confidence: 99%

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Synthesis of Optimal Narrow Beam Low Sidelobe Linear Array With Constrained Length

Fuchs¹,

Fuchs²

2010

PIER B

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Abstract-The synthesis of optimal narrow beam low sidelobe linear array is addressed. Only the length of the array is constrained. The number, the positions and the weightings of the elements are left free. It is proven, that the optimal design is always an array with a small number of elements. One first demonstrates that among equally spaced linear arrays of given length, the sparsest Dolph-Chebyshev design, i.e., the one with the largest admissible inter-element distance, is the optimal one. Then, the restriction to equally spaced elements is removed, and the general problem is solved and discussed. It is shown that the sparsest Dolph-Chebyshev designs are optimal for array lengths in given specified intervals and close to optimal for all other lengths.

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Section: Overview Of the Optimal Solutionmentioning

confidence: 99%

“…The design of unequally spaced arrays has also been and is still addressed by many authors [4][5][6][7]. In addition to the element weightings, the element spacing provides indeed another parameter to control the radiation pattern.…”

Section: Introductionmentioning

confidence: 99%

Synthesis of Optimal Narrow Beam Low Sidelobe Linear Array With Constrained Length

Fuchs¹,

Fuchs²

2010

PIER B

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“…PSO is an evolutionary algorithm based on the wisdom of crowds, since 1995 Kenndey and Eberhart have presented it [7,8], this algorithm has been widely applied for its faster convergence, clear concept and easy to program [9][10][11][12][13][14]. Its basic idea originates from the study of birds behavior: Birds could find food successfully is the result that each individual analyses its own searching process and all individuals exchange information.…”

Section: Particle Swarm Optimizationmentioning

confidence: 99%

Low RCS Dipole Array Synthesis Based on Mom-Pso Hybrid Algorithm

Wang¹,

Gong²,

Zhang³

et al. 2009

PIER

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Abstract-In this paper, a hybrid algorithm combined method of moments (MoM) with particle swarm optimization (PSO) is used to realize low radar cross section (RCS) array synthesis. Both the scattering factor and the radiation factor are involved in the proposed objective function to achieve the promising dipole array with a reduced RCS and satisfied radiation performance. To improve the optimization efficiency, radiation constraint conditions are adopted to avoid unnecessary scattering calculation. The symmetric matrix and block treatment are also used to fill the MoM impedance matrix. The optimization results show that the proposed algorithm is able to achieve RCS reduction of 5.5 dB for dipole array.

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“…Lee et al [15] described optimization of unequally spaced antenna arrays using particle swarm algorithm. Applications of real-coded genetic algorithms for the design of reconfigurable array antennas are discussed in [16,17].…”

Section: Introductionmentioning

confidence: 99%

Synthesis of Thinned Linear Antenna Arrays With Fixed Sidelobe Level Using Real-Coded Genetic Algorithm

Mahanti¹,

Pathak²,

Mahanti³

2007

PIER

110

104

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Abstract-In this paper, we propose an optimization method based on real-coded genetic algorithm (GA) with elitist strategy for thinning a large linear array of uniformly excited isotropic antennas to yield the maximum relative sidelobe level (SLL) equal to or below a fixed level. The percentage of thinning is always kept equal to or above a fixed value. Two examples have been proposed and solved with different objectives and with different value of percentage of thinning that will produce nearly the same sidelobe level. Directivities of the thinned arrays are found out and simulation results of different problems are also compared with published results to illustrate the effectiveness of the proposed method.

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Application of Particle Swarm Algorithm to the Optimization of Unequally Spaced Antenna Arrays

Cited by 83 publications

References 10 publications

Synthesis of Optimal Narrow Beam Low Sidelobe Linear Array With Constrained Length

Synthesis of Optimal Narrow Beam Low Sidelobe Linear Array With Constrained Length

Low RCS Dipole Array Synthesis Based on Mom-Pso Hybrid Algorithm

Synthesis of Thinned Linear Antenna Arrays With Fixed Sidelobe Level Using Real-Coded Genetic Algorithm

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