Title :
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
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;
Conference_Titel :
Information Theory, 2001. Proceedings. 2001 IEEE International Symposium on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-7123-2
DOI :
10.1109/ISIT.2001.935984
