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      Adaptive and efficient nonlinear channel equalization for underwater acoustic communication

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      Embargo Lift Date: 2019-09-01
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      Author(s)
      Kari, D.
      Vanli, N. D.
      Kozat, S. S.
      Date
      2017
      Source Title
      Physical Communication
      Print ISSN
      1874-4907
      Publisher
      Elsevier B.V.
      Volume
      24
      Pages
      83 - 93
      Language
      English
      Type
      Article
      Item Usage Stats
      151
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      108
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      Abstract
      We investigate underwater acoustic (UWA) channel equalization and introduce hierarchical and adaptive nonlinear (piecewise linear) channel equalization algorithms that are highly efficient and provide significantly improved bit error rate (BER) performance. Due to the high complexity of conventional nonlinear equalizers and poor performance of linear ones, to equalize highly difficult underwater acoustic channels, we employ piecewise linear equalizers. However, in order to achieve the performance of the best piecewise linear model, we use a tree structure to hierarchically partition the space of the received signal. Furthermore, the equalization algorithm should be completely adaptive, since due to the highly non-stationary nature of the underwater medium, the optimal mean squared error (MSE) equalizer as well as the best piecewise linear equalizer changes in time. To this end, we introduce an adaptive piecewise linear equalization algorithm that not only adapts the linear equalizer at each region but also learns the complete hierarchical structure with a computational complexity only polynomial in the number of nodes of the tree. Furthermore, our algorithm is constructed to directly minimize the final squared error without introducing any ad-hoc parameters. We demonstrate the performance of our algorithms through highly realistic experiments performed on practical field data as well as accurately simulated underwater acoustic channels. © 2017 Elsevier B.V.
      Keywords
      Adaptive filter
      Nonlinear channel equalization
      Piecewise linear equalization
      Self-organizing tree
      Underwater acoustic communication
      Adaptive filtering
      Adaptive filters
      Bit error rate
      Equalizers
      Errors
      Forestry
      Optical communication
      Piecewise linear techniques
      Trees (mathematics)
      Bit error rate (BER) performance
      Equalization algorithms
      Nonlinear channel
      Piecewise linear
      Piecewise linear modeling
      Self-organizing trees
      Underwater acoustic channels
      Underwater acoustic communications
      Underwater acoustics
      Permalink
      http://hdl.handle.net/11693/37343
      Published Version (Please cite this version)
      http://dx.doi.org/10.1016/j.phycom.2017.06.001
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      • Department of Electrical and Electronics Engineering 3702
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