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Minkowski, Giuseppe Peano and Koch curves based design of compact hybrid fractal antenna for biomedical applications using ANN and PSO

机译:Minkowski,Giuseppe Peano和Koch曲线基于ANN和PSO的生物医学应用的紧凑型混合分形天线的设计

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In this work, an Artificial Neural Network (ANN) and Particle Swarm Optimization (PSO) techniques are used to compute the feed position of projected Minkowski, Giuseppe Peano and Koch curves based hybrid fractal Antenna (MGKA). The structure of projected MGKA is obtained by the combination of three different fractal geometries i.e. Minkowski, Giuseppe Peano and Koch. Different fractal geometries are combined to enhance the performance characteristics and to achieve better miniaturization. The projected MGKA consists of 1.6 mm thick, low cost FR4 substrate whose relative permittivity is 4.4 and loss tangent value is 0.02. A set of 70 MGKAs with different dimensions is designed to obtain a data dictionary for the implementation of ANN and PSO techniques. The prototype is fabricated and then tested with Vector Network Analyzer (VNA). From the measured results, it is depicted that the resonant frequencies are 2.44 GHz and 5.84 GHz along with S (1, 1) values -18.23 dB and -12.71 dB. The fabricated prototype also provides excellent gains of 4.69 dB and 15.11 dB and operates within the Industrial, Scientific and Medical (ISM) frequency bands i.e. (2.4-2.5 GHz) and (5.82-5.85 GHz). The results of proposed ANN model and PSO techniques are well matched with the simulated and experimental values. (C) 2018 Elsevier GmbH. All rights reserved.
机译:在这项工作中,人工神经网络(ANN)和粒子群优化(PSO)技术用于计算基于杂交分形天线(MGKA)的突出的Minkowski,Giuseppe Peano和Koch曲线的进料位置。突出的MGKA结构是通过三种不同的分形几何形状的组合获得,即Minkowski,Giuseppe Peano和Koch。组合不同的分形几何形状以增强性能特征,实现更好的小型化。预计的MGKA由1.6毫米厚,低成本FR4基板组成,其相对介电常数为4.4,损耗切线值为0.02。设计具有不同尺寸的70毫克,旨在获得数据字典,以实现ANN和PSO技术。原型是制造的,然后用载体网络分析仪(VNA)进行测试。从测量结果中,描绘了谐振频率为2.44GHz和5.84GHz以及S(1,1)值-18.23 dB和-12.71 dB。制造的原型还提供优异的增益为4.69 dB和15.11dB,并在工业,科学和医疗(ISM)频带内操作,即(2.4-2.5 GHz)和(5.82-5.85 GHz)。所提出的ANN模型和PSO技术的结果与模拟和实验值很好地匹配。 (c)2018年Elsevier GmbH。版权所有。

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