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The Filtration of Composite Signals from Interference by the Maximum Likelihood Method

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Internet of Things, Smart Spaces, and Next Generation Networks and Systems (ruSMART 2017, NsCC 2017, NEW2AN 2017)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 10531))

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Abstract

The technology of wideband signals filtering in the presence of non-orthogonal interference and the additive noise is presented in this work. It is shown that interference can be represented as a pulse with constant unknown parameters, which can be estimated by means of maximum likelihood method, and deleting from the received message. Presents the results of model calculations and experiments, confirming the main theoretical insights.

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References

  1. Kalman, R.E.: A new approach to linear filtering and predication problems. Trans. ASME Ser. D 8, 35–45 (1960)

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Author information

Authors and Affiliations

  1. Immanuel Kant Baltic Federal University, Kaliningrad, Russia

    Kseniia V. Vlasova, Valerii A. Pakhotin & Evgenii V. Korotey

  2. Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia

    Sergey B. Makarov

Authors
  1. Kseniia V. Vlasova
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  2. Valerii A. Pakhotin
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  3. Evgenii V. Korotey
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  4. Sergey B. Makarov
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Corresponding author

Correspondence to Sergey B. Makarov .

Editor information

Editors and Affiliations

  1. Electronics and Communication Engineering, Tampere University of Technology, Tampere, Finland

    Olga Galinina

  2. Electronics and Communication Engineering, Tampere University of Technology, Tampere, Finland

    Sergey Andreev

  3. FRUCT Oy, Helsinki, Finland

    Sergey Balandin

  4. Tampere University of Technology, Tampere, Finland

    Yevgeni Koucheryavy

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© 2017 Springer International Publishing AG

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Cite this paper

Vlasova, K.V., Pakhotin, V.A., Korotey, E.V., Makarov, S.B. (2017). The Filtration of Composite Signals from Interference by the Maximum Likelihood Method. In: Galinina, O., Andreev, S., Balandin, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. ruSMART NsCC NEW2AN 2017 2017 2017. Lecture Notes in Computer Science(), vol 10531. Springer, Cham. https://doi.org/10.1007/978-3-319-67380-6_59

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  • DOI: https://doi.org/10.1007/978-3-319-67380-6_59

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67379-0

  • Online ISBN: 978-3-319-67380-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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