Skip to main content
placeholder image

Turbo equalization using partial Gaussian approximation

Journal Article


Abstract


  • This letter deals with turbo equalization for coded data transmission over intersymbol interference (ISI) channels. We propose a message-passing algorithm that uses the expectation propagation rule to convert messages passed from the demodulator and decoder to the equalizer and computes messages returned by the equalizer by using a partial Gaussian approximation (PGA). We exploit the specific structure of the ISI channel model to compute the latter messages from the beliefs obtained using a Kalman smoother/equalizer. Doing so leads to a significant complexity reduction compared to the initial PGA implementation. Results from Monte Carlo simulations show that the proposed approach leads to a significant performance improvement compared to state-of-the-art turbo equalizers and allows for trading performance with complexity.

UOW Authors


  •   Zhang, Chuanzong (external author)
  •   Wang, Zhongyong (external author)
  •   Manchon, Carles Navarro. (external author)
  •   Sun, Peng (external author)
  •   Guo, Qinghua
  •   Fleury, Bernard Henri. (external author)

Publication Date


  • 2016

Citation


  • C. Zhang, Z. Wang, C. Navarro. Manchon, P. Sun, Q. Guo & B. Henri. Fleury, "Turbo equalization using partial Gaussian approximation,"^^ IEEE Signal Processing Letters, vol. 23, (9) pp. 1216-1220, 2016.

Scopus Eid


  • 2-s2.0-84984986007

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/6012

Has Global Citation Frequency


Number Of Pages


  • 4

Start Page


  • 1216

End Page


  • 1220

Volume


  • 23

Issue


  • 9

Place Of Publication


  • United States

Abstract


  • This letter deals with turbo equalization for coded data transmission over intersymbol interference (ISI) channels. We propose a message-passing algorithm that uses the expectation propagation rule to convert messages passed from the demodulator and decoder to the equalizer and computes messages returned by the equalizer by using a partial Gaussian approximation (PGA). We exploit the specific structure of the ISI channel model to compute the latter messages from the beliefs obtained using a Kalman smoother/equalizer. Doing so leads to a significant complexity reduction compared to the initial PGA implementation. Results from Monte Carlo simulations show that the proposed approach leads to a significant performance improvement compared to state-of-the-art turbo equalizers and allows for trading performance with complexity.

UOW Authors


  •   Zhang, Chuanzong (external author)
  •   Wang, Zhongyong (external author)
  •   Manchon, Carles Navarro. (external author)
  •   Sun, Peng (external author)
  •   Guo, Qinghua
  •   Fleury, Bernard Henri. (external author)

Publication Date


  • 2016

Citation


  • C. Zhang, Z. Wang, C. Navarro. Manchon, P. Sun, Q. Guo & B. Henri. Fleury, "Turbo equalization using partial Gaussian approximation,"^^ IEEE Signal Processing Letters, vol. 23, (9) pp. 1216-1220, 2016.

Scopus Eid


  • 2-s2.0-84984986007

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/6012

Has Global Citation Frequency


Number Of Pages


  • 4

Start Page


  • 1216

End Page


  • 1220

Volume


  • 23

Issue


  • 9

Place Of Publication


  • United States