Decoding of Product Codes Use of Annealed Max-Log-MAP Algorithm

Author

Karami, Ebrahim

Author_Institution

Iran Telecommun. Res. Center, Tehran

fYear

2005

fDate

Oct. 28 2005-Nov. 1 2005

Firstpage

415

Lastpage

416

Abstract

In this paper, a new approach to soft-input soft-output (SISO) decoding of product codes based on the annealed max-log-maximum a posteriori (max-log-MAP) is proposed. Product codes due to their interesting structure are used to evaluate the new iterative decoding algorithms. Annealing is a powerful technique to improve iterative algorithms. Using annealing not only improves the performance of the iterative decoding significantly but also decreases the probability of converging to local minima. The proposed algorithm is simulated via Monte Carlo simulations for decoding of product codes and compared with the conventional max-log-MAP algorithm and the performance improvement is evaluated

Keywords

Monte Carlo methods; iterative decoding; maximum likelihood decoding; product codes; Monte Carlo simulations; SISO decoding; annealed max-log-MAP algorithm; iterative decoding algorithms; maximum a posteriori; performance evaluation; product codes; soft-input soft-output; AWGN; Detectors; Iterative algorithms; Iterative decoding; Least squares approximation; Maximum likelihood decoding; Metals industry; Product codes; Simulated annealing; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 2005. Conference Record of the Thirty-Ninth Asilomar Conference on

Conference_Location

Pacific Grove, CA

ISSN

1058-6393

Print_ISBN

1-4244-0131-3

Type

conf

DOI

10.1109/ACSSC.2005.1599780

Filename

1599780