2013
DOI: 10.2528/pierc13010805
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A High-Directivity Microstrip Patch Antenna Design by Using Genetic Algorithm Optimization

Abstract: Abstract-A high-directivity patch antenna with broadside directivity is attractive, since a narrow beam can be obtained without the need of using an array of antennas. Therefore, the solution becomes simpler as there is no need for a complicated feeding network. In this sense, this paper presents a novel patch antenna design with high directivity in the broadside direction by using genetic algorithms (GA). The proposed GA method divides the overall patch area into different cells taking into account that cells… Show more

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Cited by 35 publications
(26 citation statements)
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“…2(b), we can quickly get the scattering pattern of the SA-MS before the full wave simulation [23], [24]. For example, when f = 6.13 GHz, which means d ≈ λ, φ PMA = π, φ AMC1 = 0, φ AMC2 = 2/3π.…”
Section: Array Design Of Sa-msmentioning
confidence: 99%
“…2(b), we can quickly get the scattering pattern of the SA-MS before the full wave simulation [23], [24]. For example, when f = 6.13 GHz, which means d ≈ λ, φ PMA = π, φ AMC1 = 0, φ AMC2 = 2/3π.…”
Section: Array Design Of Sa-msmentioning
confidence: 99%
“…Many stochastic, probabilistic or evolutionary optimization approaches, such as the simulated annealing, genetic algorithm [1], ant colony optimization [4], different evolutions [5], particle swarm optimization algorithm [6] and invasive weed optimization [7] have been used and shown to be effective for the synthesis of thinned arrays. Some other approaches [8][9][10] have also been proposed.…”
Section: Introductionmentioning
confidence: 99%
“…Another technique to increase the directivity is the use of stacked patch antennas (Anguera et al, 2004). In addition to the above, high-directivity antennae based on superstrates (Foroozesh & Shafai, 2012 Jayasinghe et al (2013a;b) propose the design of a high-directivity microstrip patch antenna to replace a 2 × 1 and a 4 × 1 conventional patch arrays by avoiding feeding networks. In contrast, the present study proposes applying genetic algorithms (GA) on an array, and in particular, to each of the elements of a 2 × 1 array.…”
Section: Introductionmentioning
confidence: 99%