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Bandwidth and Gain Enhancement Techniques of DRA Antenna

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Proceedings of International Conference on Artificial Intelligence and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1164))

Abstract

This paper presents the investigation done on three DRA geometry to enhance gain and bandwidth. The three geometry consists of Single Rectangular DRA, two-segment Rectangular DRA, and DRA with superstrate structure. The three designs resonants at a frequency of 5.13 GHz, 5.21 GHz and 5.80 GHz, and 6.708 GHz respectively. All the designs are investigated in Ansoft HFSS. The reflection coefficient and radiation pattern of all the designs are presented. The superstrate design provides a maximum bandwidth of 1.08 GHz and gain of 8.80 dB.

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Author information

Authors and Affiliations

  1. Maharaja Surajmal Institute of Technology, Delhi, India

    Richa Gupta

  2. School of Engineering & Technology, Ansal University, Gurgaon, India

    Garima Bakshi

Authors
  1. Richa Gupta
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  2. Garima Bakshi
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Corresponding author

Correspondence to Richa Gupta .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Maharaja Surajmal Institute of Technology, New Delhi, India

    Poonam Bansal

  2. Department of Electrical and Electronics Engineering, Maharaja Surajmal Institute of Technology, New Delhi, India

    Meena Tushir

  3. Department of Automation and Applied Software, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

  4. Department of Computer Science and Engineering, Indian Institute of Technology (BHU), Varanasi, India

    Rajeev Srivastava

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© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Gupta, R., Bakshi, G. (2021). Bandwidth and Gain Enhancement Techniques of DRA Antenna. In: Bansal, P., Tushir, M., Balas, V., Srivastava, R. (eds) Proceedings of International Conference on Artificial Intelligence and Applications. Advances in Intelligent Systems and Computing, vol 1164. Springer, Singapore. https://doi.org/10.1007/978-981-15-4992-2_22

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