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The Design of a Wideband Antenna with Notching Characteristics for Small Devices Using a Genetic Algorithm

Author

Listed:
  • Wahaj Abbas Awan

    (Department of Integrated IT Engineering, Seoul National University of Science and Technology, Seoul 01811, Korea)

  • Abir Zaidi

    (Department of Electrical Engineering, Faculty of Science and Techniques, Hassan II University, Casablanca 20000, Morocco)

  • Musa Hussain

    (Department of Electrical Engineering, Bahria University Islamabad Campus, Islamabad 44000, Pakistan)

  • Niamat Hussain

    (Department of Information and Communication Engineering, Chungbuk National University, Chengju 28644, Korea)

  • Ikram Syed

    (Department of Computer Software Engineering, Military College of Signals, National University of Science and Technology, Islamabad 44000, Pakistan)

Abstract

This paper presents the design and realization of a compact printed ultra-wideband (UWB) antenna with notching characteristics for compact devices using a genetic algorithm. The antenna is capable of mitigating an adjacent sub-band ranging from 3.75 to 4.875 GHz, mainly used by many applications and standards such as WiMAX, WLAN and sub-6-GHz. The notch band functionality is achieved by etching out two symmetrical slots from the pentagonal radiating element. The simulation and measured results demonstrate that the proposed antenna overperformed compared with state-of-the-art antennas in terms of compactness with an overall size of 20 mm × 15 mm × 0.508 mm . Moreover, the proposed design shows a large bandwidth in the UWB region with a fractional bandwidth of 180% with respect to the center frequency of 5.25 GHz. The antenna also presents omnidirectional radiations all over the operation band and a good return loss performance.

Suggested Citation

  • Wahaj Abbas Awan & Abir Zaidi & Musa Hussain & Niamat Hussain & Ikram Syed, 2021. "The Design of a Wideband Antenna with Notching Characteristics for Small Devices Using a Genetic Algorithm," Mathematics, MDPI, vol. 9(17), pages 1-13, September.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:17:p:2113-:d:627047
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    Cited by:

    1. Khizer Mehmood & Naveed Ishtiaq Chaudhary & Zeshan Aslam Khan & Khalid Mehmood Cheema & Muhammad Asif Zahoor Raja & Ahmad H. Milyani & Abdullah Ahmed Azhari, 2022. "Nonlinear Hammerstein System Identification: A Novel Application of Marine Predator Optimization Using the Key Term Separation Technique," Mathematics, MDPI, vol. 10(22), pages 1-22, November.

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