Novel iterative equalization based on energy-spreading transform

Author

Hwang, Taewon ; Li, Ye

Author_Institution

Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA

Volume

54

Issue

1

fYear

2006

Firstpage

190

Lastpage

203

Abstract

In this paper, novel iterative equalization for intersymbol interference (ISI) channels is proposed. Different from the existing turbo equalization, the proposed one is based on energy-spreading transform (EST), which separates equalization and coding, and therefore works for uncoded systems. The complexity of the proposed scheme is comparable to that of decision-feedback equalization (DFE). However, analytical and simulation results demonstrate that its performance is very close to the matched-filter bound (MFB) when the signal-to-noise ratio (SNR) is above a threshold.

Keywords

channel coding; decision feedback equalisers; intersymbol interference; iterative decoding; matched filters; signal processing; decision-feedback equalization; energy-spreading transform; intersymbol interference channel; iterative equalization; matched-filter bound; signal-to-noise ratio; turbo equalization; AWGN; Analytical models; Computational complexity; Decision feedback equalizers; Detectors; Frequency; Intersymbol interference; Maximum likelihood decoding; Nonlinear filters; Performance analysis; Channel modeling, estimation, and equalization, and signal processing for communications;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/TSP.2005.861098

Filename

1561586