2015
DOI: 10.5899/2015/jfsva-00246
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Qualitative Model of the Input Impedance of Rectangular Microstrip Antenna

Abstract: In this paper, a fuzzy-based approach is proposed so as to predict the input impedance of the rectangular microstrip antenna. In the proposed approach, at first, behavior of single microstrip antenna is represented as simple and unchanged membership functions, and the feed probe effect on the input impedance is then extracted as simple curves so that the input impedance of microstrip antenna in despite of other existing models is efficiently predicted.

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Cited by 4 publications
(5 citation statements)
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References 17 publications
(20 reference statements)
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“…For the problem under consideration, the partial phase is shown in Figure 7. Further information in this regard can be found in Refs 15‐21. In Figure 7, smoothly decreasing curves as well as three sets of markers (stars, circles and pluses) are seen.…”
Section: Norton Equivalent Circuitmentioning
confidence: 87%
See 1 more Smart Citation
“…For the problem under consideration, the partial phase is shown in Figure 7. Further information in this regard can be found in Refs 15‐21. In Figure 7, smoothly decreasing curves as well as three sets of markers (stars, circles and pluses) are seen.…”
Section: Norton Equivalent Circuitmentioning
confidence: 87%
“…This qualitative approach in comparison with the other qualitative approaches such as conventional fuzzy inference systems (FIS), 11 neural networks (NN), 12 and adaptive network fuzzy inference (ANFIS) 13 is very efficient. It was first introduced by Tayarani 14 and used in several research by Ostadzadeh et al [15][16][17][18][19][20][21] The high efficiency of this method is because of two reasons. The first is that a nonlinear system with multi inputs and single output is first divided into nonlinear sub-systems with single input and single output and each subsystem is fuzzily analyzed.…”
Section: Introductionmentioning
confidence: 99%
“…For poorly resistive soils and fast-fronted currents, however, the ionization effect is dominant so that the dispersion effect can be disregarded. The next step is to extract closed-form soluitions for effective length of counterpoise wires buried in both-affected soil using combining the proposed method with optimization algorithms [27][28][29][30][31], or fuzzy inference techniques [32][33][34][35][36][37][38][39] that is in progress.…”
Section: Discussionmentioning
confidence: 99%
“…Otherwise, the simultaneous effects should be considered in analyzing grounding electrodes. Extracting formulae for effective length of grounding electrodes in both-affected soils using optimization algorithm (Yazdi et al, 2015;Taheri and Ostadzadeh, 2014;Teimoory et al, 2016;Samiian et al, 2016;Bahrami and Ostadzadeh, 2019) and fuzzy techniques (Ostadzadeh, 2015;Ostadzadeh et al, 2017;Ostadzadeh, 2013Ostadzadeh, , 2014Ostadzadeh et al, 2008Ostadzadeh et al, , 2009 is another study that is in progress.…”
Section: Neither Effects Only Dispersion Only Ionization Both Effectsmentioning
confidence: 99%