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Telecommunications and Radio Engineering
SJR: 0.202 SNIP: 0.2 CiteScore™: 0.23

ISSN Druckformat: 0040-2508
ISSN Online: 1943-6009

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Telecommunications and Radio Engineering

DOI: 10.1615/TelecomRadEng.v77.i20.20
pages 1785-1796

DESIGN OF THE YAGI-UDA ANTENNA USING QUANTUM PARTICLE SWARM OPTIMIZATION

Hemant Patidar
National Institute of Technology Durgapur, Mahatma Gandhi Avenue, Durgapur 713209, West Bengal, India
G. K. Mahanti
National Institute of Technology Durgapur, Mahatma Gandhi Avenue, Durgapur 713209, West Bengal, India
R. Muralidharan
Caledonian College of Engineering, Sultanate of Oman, CPO Seeb 111

ABSTRAKT

This paper presents a technique using quantum particle swarm optimization (QPSO) algorithm for the optimization of the antenna length as well as the element spacing of the Yagi- Uda antenna. Matlab based method of moment code is used to obtain the performance of different antenna designs generated by QPSO algorithm. Here three examples are considered to show the capabilities of the proposed technique using QPSO. In examples: directivity only, directivity and input impedance, and directivity, input impedance and peak side lobe level are considered for the objective purpose. Current distribution across the elements is calculated utilising the method of moments method that considers the presence of mutual coupling between neighbouring elements of the array. First of all, using the current excitations and the structure of the array, the radiated electric field, directivity along with necessary parameters are obtained. Then, the obtained results using QPSO are compared with the published results by various optimization techniques, namely, particle swarm optimization (PSO), simulated annealing (SA), computational intelligence (CI), comprehensive learning particle swarm optimization (CLPSO), and biogeography based optimization (BBO). In addition to it, the results produced are compared with the results obtained using FEKO software also. Results obtained using simulation and FEKO show the bitterness of this proposed technique using QPSO algorithm for designing the Yagi-Uda antenna.


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