The Behavior of CPW-Fed Sierpinski Curve Fractal Antenna

Reha, Abdelati; Amri, Abdelkebir El; Bouchouirbat, Marouane

doi:10.1590/2179-10742018v17i31244

Cited by 14 publications

(8 citation statements)

References 11 publications

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“…He invented three well-known fractals, which were later named Sierpinski fractals (the Sierpinski gasket, the Sierpinski carpet, and the Sierpinski curve). So far, microstrip antennas using these three fractal geometries were built and tested [36,37,38]. In this work, it was decided to manufacture and examine the patches based on the geometry of the Sierpinski curve in the strain assessment application.…”

Section: Sensor Designmentioning

confidence: 99%

“…In this work, it was decided to manufacture and examine the patches based on the geometry of the Sierpinski curve in the strain assessment application. This shape enables significant reduction of the resonator size [36]. The construction method of Sierpinski curve fractal is presented in Figure 1.…”

Section: Sensor Designmentioning

confidence: 99%

“…The same patch modification was carried out in [36]. All sensors were designed for the same operating frequency (2.725 GHz).…”

Section: Sensor Designmentioning

confidence: 99%

“…In case of telecommunication applications patches were modified by loading the edges of the patch with inductive elements [35]. Moreover, fractal patches geometries are also often used to miniaturize the microstrip antennas [36,37,38]. In this paper Sierpinski curve fractal geometry was applied.…”

Section: Introductionmentioning

confidence: 99%

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Microstrip Patch Strain Sensor Miniaturization Using Sierpinski Curve Fractal Geometry

Herbko

Łopato

2019

Sensors

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In this paper miniaturization of a microstrip patch strain sensor (MPSS) using fractal geometry was proposed and analyzed. For this purpose, the transducer of Sierpinski curve geometry was utilized and compared with the most commonly utilized rectangular resonator-based one. Both sensors were designed for the same resonant frequency value (2.725 GHz). This fact allows analysis of the influence of the patch (resonator) shape and size on the resonant frequency shift. This is very important as the sensors with the same resonator shape but designed on various operating frequencies have various resonant frequency shifts. Simulation and experimental analysis for all sensors were carried out. A good convergence between results of simulation and measurements was achieved. The obtained results proved the possibility of microstrip strain sensor dimensions reduction using Sierpinski curve fractal geometry. Additionally, an influence of microstrip line deformation for proposed sensors was studied.

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Section: Sensor Designmentioning

confidence: 99%

Section: Sensor Designmentioning

confidence: 99%

“…The same patch modification was carried out in [36]. All sensors were designed for the same operating frequency (2.725 GHz).…”

Section: Sensor Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Microstrip Patch Strain Sensor Miniaturization Using Sierpinski Curve Fractal Geometry

Herbko

Łopato

2019

Sensors

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“…no. DOI/URL 72 https://doi.org/10.21307/ijssis-2021-007 73 https://doi.org/10.1017/S1759078713000123 74 https://doi.org/10.11113/jt.v78.8777 12 https://doi.org/10.1080/02522667.2020.1715561 75 https://doi.org/10.1109/ICTC.2012.6387170 76 https://doi.org/10.1007/s11277-017-4079-5 77 https://doi.org/10.1109/ICECDS.2017.8389905 78 https://doi.org/10.1016/j.aeue.2012.08.007 79 https://doi.org/10.1155/2018/2084747 80 https://doi.org/10.1002/mop.30489 81 https://doi.org/10.1049/iet-map.2016.0154 82 https://doi.org/10.1007/s10825-018-1194-9 83 https://doi.org/10.1049/iet-map.2016.0110 84 https://doi.org/10.1590/2179-10742018v17i31244 85 https://doi.org/10.1002/mop.30156 86 https://doi.org/10.1016/j.aej.2017.04.001 87 https://doi.org/10.1109/ICCSP.2016.7754104 88 https://doi.org/10.17485/ijst/2015/v8i17/66573 89 https://doi.org/10.1049/iet-map.2016.1098 90 https://doi.org/10.1002/mmce.22058…”

Section: Data Availability Statementmentioning

confidence: 99%

An extensive survey on fractal structures using iterated function system in patch antennas

Ezhumalai

Nagarajan

Balasubramaniyan³

2021

Int J Communication

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Summary Over the last few years, fractal structure has been used in several engineering fields such as surface physics, telecommunication, fluid mechanics, and so forth. In telecommunication, often there is a demand for miniaturized patch antennas with fractal structures because it is capable of handling very high frequencies with its diminutive structure. The space filling capability of the fractal structures is used to effectively distribute the surface current all over the radiating material. Fractal structures have a better size reduction capability which aids a miniaturized antenna design. This article provides a generalized and detailed survey on fractal structures in a Euclidean space using iterated function system (IFS) in patch antennas. There are various techniques to design a fractal structure, namely, IFSs, escape‐time fractals, strange attractors, L‐systems, random fractals, and so forth. IFSs are widely used technique to construct a finite set of construction mapping on a complete metric space. The fractal geometries designed using the technique are Sierpinski carpet and gasket, Koch snowflake, deterministic tree/binary tree, Gosper island, Minkowski island, Cantor set, T‐square, and some space filling fractals. This paper deals with the above given fractal structures with their design expressions and shapes in recent developments and applications mentioned. The fractal geometries are used in MIMO antennas to abridge the mutually coupled radiators and improve the gain and efficiency of the antenna. This paper also analyzes the effects of fractal structures on MIMO antennas and discusses the ascendancy fractal structures by cross‐referencing the significant antenna parameters.

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