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Implementation of FPGA-Based Barker’s-Like Codes

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Lecture Notes in Computational Intelligence and Decision Making (ISDMCI 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1020))

Abstract

Pseudorandom code sequences with a low level of side lobe autocorrelation function have been used in radars, communication systems and information security. The results of the studies have shown that there are no Barker’s signals with a length greater than 13, for which the value of the side lobe autocorrelation function doesn’t exceed one. Consequently, in many cases, code sequences with length greater than 13 are used with the minimum possible value of the side petals level.

The article provides an overview of the synthesis of Barker-like sequence with the arbitrary length using the ideal ring bundles and an example of implementation by means of FPGA, their testing, and evaluation of FPGA hardware resources that are required for this. FPGA EP3C16F484 of the Cyclone III family has been used in the implementation process. The development has been carried out in the VHDL hardware programming language in the development environment of Quartus II with the using of libraries of the development environment.

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Authors and Affiliations

  1. Lviv Polytechnic National University, Lviv, Ukraine

    Ivan Tsmots, Oleg Riznyk, Yurii Kynash, Natalya Kustra & Mykola Logoida

  2. Ivan Franko National University of Lviv, Lviv, Ukraine

    Vasyl Rabyk

Authors
  1. Ivan Tsmots
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  2. Oleg Riznyk
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  3. Vasyl Rabyk
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  4. Yurii Kynash
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  5. Natalya Kustra
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  6. Mykola Logoida
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Corresponding author

Correspondence to Oleg Riznyk .

Editor information

Editors and Affiliations

  1. Kherson National Technical University, Kherson, Ukraine

    Volodymyr Lytvynenko

  2. Jan Evangelista Purkyně University in Ústi and Labem, Usti and Labem, Czech Republic

    Sergii Babichev

  3. Lublin University of Technology, Lublin, Poland

    Waldemar Wójcik

  4. IT Step University, Lviv, Ukraine

    Olena Vynokurova

  5. Kherson National Technical University, Kherson, Ukraine

    Svetlana Vyshemyrskaya

  6. Kherson National Technical University, Kherson, Ukraine

    Svetlana Radetskaya

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Tsmots, I., Riznyk, O., Rabyk, V., Kynash, Y., Kustra, N., Logoida, M. (2020). Implementation of FPGA-Based Barker’s-Like Codes. In: Lytvynenko, V., Babichev, S., Wójcik, W., Vynokurova, O., Vyshemyrskaya, S., Radetskaya, S. (eds) Lecture Notes in Computational Intelligence and Decision Making. ISDMCI 2019. Advances in Intelligent Systems and Computing, vol 1020. Springer, Cham. https://doi.org/10.1007/978-3-030-26474-1_15

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