Design and Optimization of Genetic Algorithm (GA) based High Gain and Directive CPW-Fed Slot Dipole Antenna for Wideband Applications
Abstrak
Genetic Algorithm (GA) is proposed in this paper for the design of a wide bandwidth, high gain and directive CPW-fed slot-dipole antenna. The proposed antenna is built on a FR4 substrate that is cheap and easy to produce. Genetic Algorithm is used to select parameters that reflect antenna geometry to achieve wider bandwidth and reduced return loss (parameter S11) and high gain values at resonant frequency. The antenna design shows a wide operating bandwidth of 1.4 GHz (simulated) and 1.3 GHz (measured) over the X-band, a return loss (S11) of -25.83 dB (simulated) and -23.08 (measured) and a gain and directivity of 5.61 dB (simulated) and 11.87 dB (simulated) at 10.5 GHz resonating frequencies. In this work, all simulations were performed using the ANSYS HFSS v14.0 software. A prototype antenna was produced and then characterized using VNA to validate the design. Measurement results were in good agreement with the results simulated using ANSYS HFSS.
Penulis (10)
Department of Electrical & Electronics Engineering, School of Engineering, University of Petroleum & Energy Studies, Dehradun , India
Raj Gaurav Mishra
Ranjan Mishra
Associate Professor, Department of Electrical & Electronics Engineering, School of Engineering, University of Petroleum & Energy Studies, Dehradun , India
N. Prasanthi Kumari
Associate Professor, Department of Electrical & Electronics Engineering, School of Engineering, University of Petroleum & Energy Studies, Dehradun , India.
Sushabhan Choudhury
Professor and Head, Department of Electrical & Electronics Engineering, School of Engineering, University of Petroleum & Energy Studies, Dehradun , India
Piyush Kuchhal
Professor, Department of Physics, School of Engineering, University of Petroleum & Energy Studies, Dehradun , India
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Cek di sumber asli →- Tahun Terbit
- 2019
- Bahasa
- en
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- DOI
- 10.35940/ijeat.b3931.129219
- Akses
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