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

被引：10

作者：

Guo, Qinghua ^{[1
]}

Huang, Defeng ^{[1
]}

机构：

[1] Univ Western Australia, Sch Elect Elect & Comp Engn, Nedlands, WA 6009, Australia

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 2011年 / 59卷 / 07期

基金：

澳大利亚研究理事会;

关键词：

Channel estimation; factor graphs; Gaussian message passing; least squares; state-space approach; time-varying frequency selective channels; turbo equalization; SINGLE-CARRIER TRANSMISSIONS; ITERATIVE CHANNEL ESTIMATION; ALGORITHMS; SUM;

D O I：

10.1109/TSP.2011.2135857

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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(log L) per symbol are developed, where is the number of channel taps.

引用

页码：3288 / 3300

页数：13

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