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A Review on Reconfigurable Microstrip Antennas

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Intelligent Techniques and Applications in Science and Technology (ICIMSAT 2019)

Part of the book series: Learning and Analytics in Intelligent Systems ((LAIS,volume 12))

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Abstract

Reconfigurability is a requirement of current and future generation wireless communication, which can be achieved through the implementation of reconfigurable components within the antenna structure. Thus, design and analysis of various components have gained a lot of attention of researchers. Baseline modeling of the antenna is a key factor while making its radiation properties reconfigurable, which can be either Frequency, Pattern, Polarization or Hybrid reconfigurability. In this review, survey of different techniques, the necessity of reconfigurability, methods to achieve it, procedure and application areas are discussed in detail.

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Author information

Authors and Affiliations

  1. Sanjay Ghodawat Group of Institutions, Kolhapur, 416118, Maharashtra, India

    Pritam B. Nikam

  2. Department of E&C, Mizoram University, Aizawl, 796004, Mizoram, India

    Achinta Baidya

  3. VIT-AP University, Amaravati, 522237, Andhra Pradesh, India

    Jayendra Kumar

Authors
  1. Pritam B. Nikam
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  2. Achinta Baidya
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  3. Jayendra Kumar
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Corresponding author

Correspondence to Pritam B. Nikam .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, Siliguri Institute of Technology, Sukna, West Bengal, India

    Subhojit Dawn

  2. Department of Automation and Applied Informatics, Aurel Vlaicu University of Arad, Arad, Arad, Romania

    Valentina Emilia Balas

  3. Department of Psychology and IIASS, Università della Campania “Luigi Vanvitelli”, Caserta, Caserta, Italy

    Anna Esposito

  4. Mizoram University, Aizawl, Mizoram, India

    Sadhan Gope

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Nikam, P.B., Baidya, A., Kumar, J. (2020). A Review on Reconfigurable Microstrip Antennas. In: Dawn, S., Balas, V., Esposito, A., Gope, S. (eds) Intelligent Techniques and Applications in Science and Technology. ICIMSAT 2019. Learning and Analytics in Intelligent Systems, vol 12. Springer, Cham. https://doi.org/10.1007/978-3-030-42363-6_67

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