A Frequency Domain State-Space Approach to LS Estimation and Its Application in Turbo Equalization

Author

Guo, Qinghua ; Huang, Defeng

Author_Institution

Sch. of Electr., Univ. of Western Australia, Crawley, WA, Australia

Volume

59

Issue

7

fYear

2011

fDate

7/1/2011 12:00:00 AM

Firstpage

3288

Lastpage

3300

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 time-varying frequency selective channels in turbo equalization systems, and channel estimation approaches with complexity O(logL) per symbol are developed, where L is the number of channel taps.

Keywords

channel estimation; equalisers; fast Fourier transforms; frequency-domain analysis; least squares approximations; smoothing methods; state-space methods; time-varying channels; FFT; Toeplitz structure; channel estimation; data matrix; fast Fourier transform; finite impulse response system identification; frequency domain state-space approach; least square estimation; smoothing estimation; time-varying frequency selective channels; turbo equalization; unbiased recursive estimator; Channel estimation; Complexity theory; Covariance matrix; Estimation; Frequency domain analysis; Signal processing algorithms; Vectors; Channel estimation; Gaussian message passing; factor graphs; least squares; state-space approach; time-varying frequency selective channels; turbo equalization;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/TSP.2011.2135857

Filename

5741757