Skip to main content
placeholder image

A frequency domain state‐space approach to LS estimation and its application in turbo equalization

Journal Article


Abstract


  • A frequency domain state-space approach to the least

    squares (LS) estimation for finite impulse response (FIR) system

    identification is proposed by exploiting the Toeplitz structure of

    the data matrix, leading to two low-complexity FFT (fast Fourier

    transform)-based unbiased recursive estimators. The proposed recursive

    estimators are applied to the smoothing estimation of timevarying

    frequency selective channels in turbo equalization systems,

    and channel estimation approaches with complexity per

    symbol are developed, where is the number of channel taps.

UOW Authors


  •   Guo, Qinghua
  •   Huang, Defeng (David) (external author)

Publication Date


  • 2011

Citation


  • Q. Guo & D. Huang, "A frequency domain state‐space approach to LS estimation and its application in turbo equalization," IEEE Transactions on Signal Processing, vol. 59, (11) pp. 3288-3300, 2011.

Scopus Eid


  • 2-s2.0-79959263954

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/994

Has Global Citation Frequency


Number Of Pages


  • 12

Start Page


  • 3288

End Page


  • 3300

Volume


  • 59

Issue


  • 11

Place Of Publication


  • United States

Abstract


  • A frequency domain state-space approach to the least

    squares (LS) estimation for finite impulse response (FIR) system

    identification is proposed by exploiting the Toeplitz structure of

    the data matrix, leading to two low-complexity FFT (fast Fourier

    transform)-based unbiased recursive estimators. The proposed recursive

    estimators are applied to the smoothing estimation of timevarying

    frequency selective channels in turbo equalization systems,

    and channel estimation approaches with complexity per

    symbol are developed, where is the number of channel taps.

UOW Authors


  •   Guo, Qinghua
  •   Huang, Defeng (David) (external author)

Publication Date


  • 2011

Citation


  • Q. Guo & D. Huang, "A frequency domain state‐space approach to LS estimation and its application in turbo equalization," IEEE Transactions on Signal Processing, vol. 59, (11) pp. 3288-3300, 2011.

Scopus Eid


  • 2-s2.0-79959263954

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/994

Has Global Citation Frequency


Number Of Pages


  • 12

Start Page


  • 3288

End Page


  • 3300

Volume


  • 59

Issue


  • 11

Place Of Publication


  • United States