Iterative decoding of product block codes based on the least mean square error criterion

Author

Khermosh, Lior ; Amrani, Ofer ; De´ery, Y.

Author_Institution

Dept. of Electr. Eng.-Syst., Tel Aviv Univ., Israel

fYear

2001

fDate

2001

Firstpage

121

Abstract

A soft-input soft-output decoder based on the least mean square error (LMSE) criterion is presented and employed for iterative decoding of product codes. The residual estimation error is derived and used for analyzing the convergence of the iterative process as well as a stopping criterion. A relation between the LMSE and the MAP decoders is also established. Simulation results are presented for several codes revealing near-optimal performance

Keywords

block codes; convergence of numerical methods; iterative decoding; least mean squares methods; maximum likelihood decoding; turbo codes; LMSE criterion; MAP decoders; ML decoding; SISO decoder; computer simulations; iterative decoding; iterative process convergence; least mean square error criterion; near-optimal performance; noniterative maximum-likelihood decoding; product block codes; residual estimation error; simulation results; soft-input soft-output decoder; stopping criterion; turbo decoder; Block codes; Computer simulation; Convergence; Estimation error; Iterative algorithms; Iterative decoding; Maximum likelihood decoding; Mean square error methods; Product codes; Turbo codes;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Theory, 2001. Proceedings. 2001 IEEE International Symposium on

Conference_Location

Washington, DC

Print_ISBN

0-7803-7123-2

Type

conf

DOI

10.1109/ISIT.2001.935984

Filename

935984