Row-Column Soft-Decision Feedback Algorithm for Two-Dimensional Intersymbol Interference

Author

Cheng, Taikun ; Belzer, Benjamin J. ; Sivakumar, Krishnamoorthy

Author_Institution

Washington State Univ., Pullman

Volume

14

Issue

7

fYear

2007

fDate

7/1/2007 12:00:00 AM

Firstpage

433

Lastpage

436

Abstract

We present a novel iterative row-column soft decision feedback algorithm (IRCSDFA) for detection of binary images corrupted by 2-D intersymbol interference and additive white Gaussian noise. The algorithm exchanges weighted soft information between row and column maximum a posteriori (MAP) detectors. Each MAP detector exploits soft-decision feedback from previously processed rows or columns. The new algorithm gains about 0.3 dB over the previously best published results for the 2times2 averaging mask. For a non-separable 3times3 mask, the IRCSDFA gains 0.8 dB over a previous soft-input/soft-output iterative algorithm which decomposes the 2-D convolution into 1-D row and column operations.

Keywords

AWGN channels; automatic repeat request; convolution; intersymbol interference; maximum likelihood estimation; 2D convolution; 2D intersymbol interference; additive white Gaussian noise; binary image detection; iterative row-column soft decision feedback algorithm; maximum a posteriori detectors; nonseparable mask; soft-input/soft-output iterative algorithm; Convolution; Detection algorithms; Detectors; Feedback; Gain; Image storage; Intersymbol interference; Iterative algorithms; Iterative decoding; Maximum likelihood detection; 2-D intersymbol interference; Iterative algorithm; soft decision feedback;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2006.891329

Filename

4244475