2009
DOI: 10.1163/156939309789476239
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A Modified PSO for Low Sidelobe Concentric Ring Arrays Synthesis with Multiple Constraints

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Cited by 19 publications
(15 citation statements)
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“…In this paper, objective function is optimized by constrained PSO algorithm [11,12] . Firstly, J particles are initialized in the target search space of N N β β µ µ .…”
Section: The Objective Function Optimizationmentioning
confidence: 99%
“…In this paper, objective function is optimized by constrained PSO algorithm [11,12] . Firstly, J particles are initialized in the target search space of N N β β µ µ .…”
Section: The Objective Function Optimizationmentioning
confidence: 99%
“…Therefore, it is desirable to design a high-performance and efficiency algorithm in the conformal array synthesis problem. Due to the flexibility and efficiency of the evolutionary optimization algorithms such as the genetic algorithm, ant colony optimization, and particle swarm optimization, they are widely employed for the antenna array pattern synthesis in recent years [14][15][16][17][18][19][20][21][22][23][24][25]. Moreover, in many practical scenarios, it is required that single array antenna can radiate multiple radiation patterns [26][27][28][29][30].…”
Section: Introductionmentioning
confidence: 99%
“…In [11], a technique for designing a planar array of parasitic dipoles that modify the pattern of a λ/2-dipole placed λ/4 over a ground plane was described. This method, that synthesizes a pencil beam pattern with good performance, uses the Particle Swarm Optimization (PSO) [12][13][14][15][16][17][18][19][20] tool of method of moments program FEKO [21] to optimize the length of each parasitic dipole and the distance between the planar array and the ground planes as well as the interspacing of the parasitic elements. In this model, the antenna works as a set of scattering elements in a mutual coupling environment localized in a plane.…”
Section: Introductionmentioning
confidence: 99%