2002
DOI: 10.1002/mop.10494
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Dual‐port dual‐polarized microstrip antenna

Abstract: Experimental and simulated results for a dual‐port dual‐polarized microstrip antenna are presented. The antenna excites two orthogonally polarized resonant frequencies providing an isolation of ∼30 dB between the ports. The patch geometry consists of two circular arcs of different radii with their centers displaced by a distance. This new design offers an area reduction of ∼70% compared to a standard rectangular microstrip antenna with a reduction in gain of 1.7 dB. © 2002 Wiley Periodicals, Inc. Microwave Opt… Show more

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Cited by 4 publications
(13 citation statements)
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“…Lately, a dual frequency arrow-shaped CMA with considerable size reduction approximately 65%, with similar radiation characteristics to those of an equivalent rectangular microstrip antenna was presented and verified by simulation and experiment [8,11,12] and, it is shown in Figure 1. The empirical approximate design formulas for this CMA with the coaxial feed or electromagnetically coupled feed have also been proposed to estimate the resonant frequencies at TM 10 and TM 01 modes [8,11,12].…”
Section: Introductionmentioning
confidence: 89%
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“…Lately, a dual frequency arrow-shaped CMA with considerable size reduction approximately 65%, with similar radiation characteristics to those of an equivalent rectangular microstrip antenna was presented and verified by simulation and experiment [8,11,12] and, it is shown in Figure 1. The empirical approximate design formulas for this CMA with the coaxial feed or electromagnetically coupled feed have also been proposed to estimate the resonant frequencies at TM 10 and TM 01 modes [8,11,12].…”
Section: Introductionmentioning
confidence: 89%
“…The resonant frequency results achieved are compared with the available simulation results and also theoretical results of the design formulas previously published in the literature [8,11,12]. It is illustrated that the new formulas derived by utilizing the differential evolution provide accurate results within lower total absolute errors with respect to the previous analyses [8,11,12]. The differential evolution is a simple, fast, and robust evolutionary algorithm that has proven effective in determining the global optimum for general type of numeric optimization problems.…”
Section: Introductionmentioning
confidence: 91%
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