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Planar Crossover Using Microstrip Patch Antenna for Beamforming Networks

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Artificial Intelligence and Evolutionary Computations in Engineering Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 394))

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Abstract

In this paper, a simple planar design for a symmetric four-port crossover is presented. The proposed crossover is derived from a microstrip patch antenna with a set of two orthogonal feeds. Electrical length of the microstrip patch antenna is increased by incorporating slots achieving a frequency shift to the lower side. The slot in the patch antenna is derived from fractal geometry, which allows three stages of iteration. Isolation better than −15 dB and transmission ~0 dB is observed in the frequency range of interest. The proposed crossover is a potential candidate for Butler matrix in beamforming applications.

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Acknowledgments

The project is partially funded by a grant from Information Technology Research Agency (ITRA)-Department of Electronics and Information Technology (Deity), Government of India.

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Authors and Affiliations

  1. Amrita Vishwa Vidyapeetham, Amritapuri, Kollam, 690525, India

    Mirav Mehta, K. A. Naveen, Vishnu Rajan, Rahul R. Pillai & Sreedevi K. Menon

Authors
  1. Mirav Mehta
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  2. K. A. Naveen
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  3. Vishnu Rajan
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  4. Rahul R. Pillai
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  5. Sreedevi K. Menon
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Corresponding author

Correspondence to Mirav Mehta .

Editor information

Editors and Affiliations

  1. Electrical and Electronics Engineer, SRM Engineering College, Kattankulathur, Tamil Nadu, India

    Subhransu Sekhar Dash

  2. Electrical & Electronics Engineering, Velammal Engineering College, Chennai, Tamil Nadu, India

    M. Arun Bhaskar

  3. Dept Electrical & Electronics Engg, IIT Delhi, New Delhi, India

    Bijaya Ketan Panigrahi

  4. Indian Statistical Institute, Kolkata, India

    Swagatam Das

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© 2016 Springer India

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Mehta, M., Naveen, K.A., Rajan, V., Pillai, R.R., Menon, S.K. (2016). Planar Crossover Using Microstrip Patch Antenna for Beamforming Networks. In: Dash, S., Bhaskar, M., Panigrahi, B., Das, S. (eds) Artificial Intelligence and Evolutionary Computations in Engineering Systems. Advances in Intelligent Systems and Computing, vol 394. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2656-7_37

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  • DOI: https://doi.org/10.1007/978-81-322-2656-7_37

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2654-3

  • Online ISBN: 978-81-322-2656-7

  • eBook Packages: EngineeringEngineering (R0)

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