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Optimizing of Iterative Turbo Equalizer for Underwater Sensor Communication.

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Title: Optimizing of Iterative Turbo Equalizer for Underwater Sensor Communication.
Authors: Ji Won Jung1, Ki Man Kim1 kimkim@hhu.ac.kr
Source: International Journal of Distributed Sensor Networks. 2013, p1-6. 6p.
Subjects: Detectors, Turbo languages (Computer program language), Programming languages, Equalizers (Electronics), Electric networks
Abstract: We presented an iterative turbo equalization to cope with intersymbol interference induced by reflection of sea level and sea bottom for underwater sensor communication channel. Iterative turbo equalizer consists of inner codes and outer codes; we employ decision feedback equalizer as an outer code and turbo codes as an inner code. Equalizer and decoder are connected through the interleaving and deinterleaving that update each other's information repeatedly. At the receiver side, we resort to powerful turbo equalization algorithms that iteratively exchange probabilistic information between inner decoder and outer decoder, thereby reducing the error rates significantly Furthermore, we expand iterative turbo equalizer techniques for single-input-single-output (SISO) system to multiple-input-multiple-output (MIMO) system in order to increase data rates for underwater sensor communication channel. Based on experimental channel response, we confirmed that the performance is improved as iteration number is increased. The performance is improved by 3.5 [dB] compared to noniteration for SISO channel and by 1 [dB] for MIMO channel, respectively. We also decided that optimal iterations are 3. Very important for a successful decoding is the channel estimation, which is also discussed. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Distributed Sensor Networks is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 95290726
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Optimizing of Iterative Turbo Equalizer for Underwater Sensor Communication.
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  Data: <searchLink fieldCode="AR" term="%22Ji+Won+Jung%22">Ji Won Jung</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Ki+Man+Kim%22">Ki Man Kim</searchLink><relatesTo>1</relatesTo><i> kimkim@hhu.ac.kr</i>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Distributed+Sensor+Networks%22">International Journal of Distributed Sensor Networks</searchLink>. 2013, p1-6. 6p.
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  Data: <searchLink fieldCode="DE" term="%22Detectors%22">Detectors</searchLink><br /><searchLink fieldCode="DE" term="%22Turbo+languages+%28Computer+program+language%29%22">Turbo languages (Computer program language)</searchLink><br /><searchLink fieldCode="DE" term="%22Programming+languages%22">Programming languages</searchLink><br /><searchLink fieldCode="DE" term="%22Equalizers+%28Electronics%29%22">Equalizers (Electronics)</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+networks%22">Electric networks</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: We presented an iterative turbo equalization to cope with intersymbol interference induced by reflection of sea level and sea bottom for underwater sensor communication channel. Iterative turbo equalizer consists of inner codes and outer codes; we employ decision feedback equalizer as an outer code and turbo codes as an inner code. Equalizer and decoder are connected through the interleaving and deinterleaving that update each other's information repeatedly. At the receiver side, we resort to powerful turbo equalization algorithms that iteratively exchange probabilistic information between inner decoder and outer decoder, thereby reducing the error rates significantly Furthermore, we expand iterative turbo equalizer techniques for single-input-single-output (SISO) system to multiple-input-multiple-output (MIMO) system in order to increase data rates for underwater sensor communication channel. Based on experimental channel response, we confirmed that the performance is improved as iteration number is increased. The performance is improved by 3.5 [dB] compared to noniteration for SISO channel and by 1 [dB] for MIMO channel, respectively. We also decided that optimal iterations are 3. Very important for a successful decoding is the channel estimation, which is also discussed. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Distributed Sensor Networks is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1155/2013/129781
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 6
        StartPage: 1
    Subjects:
      – SubjectFull: Detectors
        Type: general
      – SubjectFull: Turbo languages (Computer program language)
        Type: general
      – SubjectFull: Programming languages
        Type: general
      – SubjectFull: Equalizers (Electronics)
        Type: general
      – SubjectFull: Electric networks
        Type: general
    Titles:
      – TitleFull: Optimizing of Iterative Turbo Equalizer for Underwater Sensor Communication.
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          Name:
            NameFull: Ji Won Jung
      – PersonEntity:
          Name:
            NameFull: Ki Man Kim
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          Dates:
            – D: 01
              M: 01
              Text: 2013
              Type: published
              Y: 2013
          Identifiers:
            – Type: issn-print
              Value: 15501329
          Titles:
            – TitleFull: International Journal of Distributed Sensor Networks
              Type: main
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