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Soft-in Soft-out detection using partial gaussian approximation

Journal Article


Abstract


  • This paper concerns the soft-in soft-out detection in a coded communication system, where the

    transmitted symbols are discrete valued, and the exact a posteriori probability (APP) detection often involves

    prohibitive complexity. By using the properties of Gaussian functions, an approximate approach to the APP

    detection is devised with the idea that, in the computation of the APP of each symbol, the remaining symbols

    are distinguished based on their contributions to the APP of the concerned symbol, and the symbols with

    less contributions are approximated as (continuous) Gaussian variables [hence the name partial Gaussian

    approximation (PGA)] to reduce the computational complexity. The connection between the PGA detector

    and the reduced dimension maximum a posteriori detector (RDMAP) is investigated. It is shown that, PGA is

    equivalent to RDMAP, but it has a complexity much lower than that of RDMAP, i.e., PGA can be regarded as

    an efcient implementation of RDMAP. In addition, the application of PGA in intersymbol interference (ISI)

    channel equalization is also investigated.We show that PGA allows further signicant complexity reduction

    by exploiting the circulant structure of the system transfer matrix, which makes PGA very attractive in

    handling severe ISI channels with large memory length.

Authors


  •   Guo, Qinghua
  •   Huang, Defeng (David) (external author)
  •   Nordholm, Sven (external author)
  •   Xi, Jiangtao
  •   Ping, Li (external author)

Publication Date


  • 2014

Citation


  • Q. Guo, D. Huang, S. Nordholm, J. Xi & L. Ping, "Soft-in Soft-out detection using partial gaussian approximation," IEEE ACCESS, vol. 2, pp. 427-436, 2014.

Scopus Eid


  • 2-s2.0-84923317772

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/3230

Has Global Citation Frequency


Number Of Pages


  • 9

Start Page


  • 427

End Page


  • 436

Volume


  • 2

Place Of Publication


  • United States

Abstract


  • This paper concerns the soft-in soft-out detection in a coded communication system, where the

    transmitted symbols are discrete valued, and the exact a posteriori probability (APP) detection often involves

    prohibitive complexity. By using the properties of Gaussian functions, an approximate approach to the APP

    detection is devised with the idea that, in the computation of the APP of each symbol, the remaining symbols

    are distinguished based on their contributions to the APP of the concerned symbol, and the symbols with

    less contributions are approximated as (continuous) Gaussian variables [hence the name partial Gaussian

    approximation (PGA)] to reduce the computational complexity. The connection between the PGA detector

    and the reduced dimension maximum a posteriori detector (RDMAP) is investigated. It is shown that, PGA is

    equivalent to RDMAP, but it has a complexity much lower than that of RDMAP, i.e., PGA can be regarded as

    an efcient implementation of RDMAP. In addition, the application of PGA in intersymbol interference (ISI)

    channel equalization is also investigated.We show that PGA allows further signicant complexity reduction

    by exploiting the circulant structure of the system transfer matrix, which makes PGA very attractive in

    handling severe ISI channels with large memory length.

Authors


  •   Guo, Qinghua
  •   Huang, Defeng (David) (external author)
  •   Nordholm, Sven (external author)
  •   Xi, Jiangtao
  •   Ping, Li (external author)

Publication Date


  • 2014

Citation


  • Q. Guo, D. Huang, S. Nordholm, J. Xi & L. Ping, "Soft-in Soft-out detection using partial gaussian approximation," IEEE ACCESS, vol. 2, pp. 427-436, 2014.

Scopus Eid


  • 2-s2.0-84923317772

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/3230

Has Global Citation Frequency


Number Of Pages


  • 9

Start Page


  • 427

End Page


  • 436

Volume


  • 2

Place Of Publication


  • United States