A novel design of hybrid fractal antenna using BFO

Rani, Shweta; Singh, Amar

doi:10.3233/ifs-131088

Cited by 14 publications

(9 citation statements)

References 17 publications

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“…Such type of the problems has been noted in the articles. [66][67][68][69][70][71][72][73][74][75][76][77][78] Aforesaid attempts were made by researchers because compact sized, light weight, low cost, easy to fabricate, portable, and proficient to portray multiband/ wideband behavior antenna is the need of present technological era. Antenna which is capable to fulfill the afore-mentioned properties, can easily be implemented in the handheld devices.…”

Section: Research Motivationmentioning

confidence: 99%

“…This article has envisaged HFA designed by combining fractal tree and Meander geometry and named as printed hybrid fractal tree (PHFT) antenna. 67 Bacterial forging optimization (BFO) technique also has been employed for designing the compact sized antenna with enhanced performance parameters. The ground plane length has been varied to attain an optimized result.…”

Section: Hybrid Fractal Antenna Using Fractal Tree With Meander Geometrymentioning

confidence: 99%

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Comparative analysis of hybrid fractal antennas: A review

Sharma

Bhatia

2021

Int J RF Microw Comput Aided Eng

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The comprehensive review of hybrid fractal antenna (HFA) has been presented in this article. Distinguished researchers have designed, analyzed, and investigated numerous types of HFA's as per the requirement of the market. Firstly, it gives introduction about the fractal antennas (FAs) along with the need of integration of the fractal geometries then research motivation. The extensive literature survey has been divided into three different parts as, fusion of same type of fractal geometries, amalgamation of two distinct fractal geometries and concoction of three different fractal geometries, further, the comparative analysis among these HFA's has been made on the basis of their size, geometries used for designing, number of resonant frequency bands, gain, bandwidth, radiation efficiency, circular polarization, and their applications. The juxtaposition among different HFA's has also been delineated in tabular form for more limpidity along with the findings of individual research article. The challenges faced by researchers while designing the antennas are also being portrayed in this article. This review may be supportive for the novices to carry out their research on HFA as such type of comparative analysis on HFA's is not existing in the open state of art literature as per best of authors knowledge.

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Section: Research Motivationmentioning

confidence: 99%

Section: Hybrid Fractal Antenna Using Fractal Tree With Meander Geometrymentioning

confidence: 99%

Comparative analysis of hybrid fractal antennas: A review

Sharma

Bhatia

2021

Int J RF Microw Comput Aided Eng

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“…The main objective of this technique is to represent an experimental data in the form of a model (function or a mathematical equation) and then evaluate the parameters associated with that model . In other words, it provides the best description of an experimental data set with a mathematical model.…”

Section: Curve Fitting Approachmentioning

confidence: 99%

“…Sukhija et al have illustrated the structure of a U‐shaped microstrip antenna embedded with meandered slots that showed resonance at 2.45 GHz. Several researchers have shown a huge interest in the bioinspired optimization approaches for solving several antenna design problems . Different bioinspired techniques for evaluating the performance of a Sierpinski gasket fractal antenna are explained in Reference .…”

Section: Introductionmentioning

confidence: 99%

Giuseppe Peano and Cantor set fractals based miniaturized hybrid fractal antenna for biomedical applications using artificial neural network and firefly algorithm

Kaur

Sivia

2019

Int J RF Microw Comput Aided Eng

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In this research paper, Giuseppe Peano and Cantor set fractals based miniaturized hybrid fractal antenna (GCHFA) is proposed that operates for biomedical applications. The proposed GCHFA is designed by merging Giuseppe Peano and Cantor set fractals that help in achieving better performance characteristics as well as miniaturization. Firefly algorithm (FA) has been employed to optimize the feed position of the designed antenna. The substrate material selected for the proposed GCHFA is low-cost, commercially available FR4 epoxy whose thickness is 1.6 mm and relative permittivity is 4.4. A data set of 65 GCHFAs with different geometrical parameters is generated for the realization of two different bioinspired approaches.For the performance evaluation of fabricated prototype, vector network analyzer is used. The experimentally observed resonant frequencies are 2.4400 and 5.8115 GHz, and at these resonant frequencies, S (1,1) < −10 dB. The designed antenna is suitable for Industrial, Scientific, and Medical bands of biomedical applications. Moreover, the behavior of the proposed GCHFA is nearly omnidirectional. A comparative study of three different artificial neural networks (ANNs) is also done to evaluate the most suitable ANN type for the analysis of proposed GCHFA. The optimized, simulated, and experimental results depict that they are closely matched. K E Y W O R D S artificial neural network, biomedical applications, feed position, firefly algorithm, hybrid fractal antenna, resonant frequency

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“…Various algorithms like particle swam optimization (PSO), bacterial foraging optimization (BFO), whale optimization, grey wolf optimization, ant lion optimization (ALO), etc. have been used to optimize the dimensions of the antenna and to achieve the required results [16][17]. In this study, the ant lion optimization has been applied on the length of the patch and width of the quarter wave matching line to obtain the required band of operation and corresponding reflection coefficient, respectively.…”

Section: Introductionmentioning

confidence: 99%

Design and Optimization of Micro-Machined Sierpinski Carpet Fractal Antenna Using Ant Lion Optimization

Kumar

Pharwaha

2020

Int. j. eng. technol. innov.

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This study investigates the optimized Sierpinski carpet fractal patch antenna and also explores the possibility of the integration of the proposed design with monolithic microwave integrated circuits. The optimization process has been performed using an ant lion optimization algorithm to achieve the required operating frequency and impedance matching. Further, due to surface waves excitation in the high index substrates used for the antenna design, the performance of the antenna degrades. Therefore, a process of micro-machining has been adopted to overcome this limitation. The micro-machining process creates an air cavity underneath the patch which further creates the low index environment in the patch antenna causing drastic improvement in the performance parameters along with the compatibility with monolithic microwave integrated circuits. The design shows multiple resonance frequencies in X-band and Ku-band. The proposed micro-machined design shows the resonance at 7.9 GHz, 9.6 GHz, 13.6 GHz, and 19 GHz with a maximum gain of 6 dBi.

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A novel design of hybrid fractal antenna using BFO

Cited by 14 publications

References 17 publications

Comparative analysis of hybrid fractal antennas: A review

Comparative analysis of hybrid fractal antennas: A review

Giuseppe Peano and Cantor set fractals based miniaturized hybrid fractal antenna for biomedical applications using artificial neural network and firefly algorithm

Design and Optimization of Micro-Machined Sierpinski Carpet Fractal Antenna Using Ant Lion Optimization

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