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Combined Adaptive Spatial-Temporal Signal Processing System Based on Sequential Circuit with Dependent Component Adaptation

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Book cover Internet of Things, Smart Spaces, and Next Generation Networks and Systems (ruSMART 2015, NEW2AN 2015)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 9247))

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Abstract

The state-of-the-art adaptive combined (space-time) signal processing methods provide either optimum results under unrealistic computational times and efforts, or affordable computations under severe service degradation. This paper first analyses the existing methods and derives the motivation for the novel approach to creation of combined systems of the space-time-adaptive processing with dependent component adaptation. Then the generic derivations of the weighting factors calculation is shown step by step for a two-component (space-time) combined processing system with dependent components adaptation. Finally, numerical simulations show that through the proposed method it is possible to suppress wideband and narrowband interference, even if the number of interfering signals is higher than the number of antenna array elements.

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Author information

Authors and Affiliations

  1. Department of Wireless Telecommunications, ITMO University, Saint Petersburg, Russian Federation

    Vladimir Grigoryev & Igor Khvorov

Authors
  1. Vladimir Grigoryev
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  2. Igor Khvorov
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Corresponding authors

Correspondence to Vladimir Grigoryev or Igor Khvorov .

Editor information

Editors and Affiliations

  1. FRUCT Oy, Helsinki, Finland

    Sergey Balandin

  2. Tampere University of Technology, Tampere, Finland

    Sergey Andreev

  3. Tampere University of Technology, Tampere, Finland

    Yevgeni Koucheryavy

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© 2015 Springer International Publishing Switzerland

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Grigoryev, V., Khvorov, I. (2015). Combined Adaptive Spatial-Temporal Signal Processing System Based on Sequential Circuit with Dependent Component Adaptation. In: Balandin, S., Andreev, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. ruSMART NEW2AN 2015 2015. Lecture Notes in Computer Science(), vol 9247. Springer, Cham. https://doi.org/10.1007/978-3-319-23126-6_56

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  • DOI: https://doi.org/10.1007/978-3-319-23126-6_56

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23125-9

  • Online ISBN: 978-3-319-23126-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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