Title :
A decoding algorithm for turbo product codes using optimality test and amplitude clipping
Author :
Zhang, Qing ; Le-Ngoc, Tho
Author_Institution :
Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, Que., Canada
Abstract :
This paper presents an iterative soft-input/soft-output (SISO) decoder for product code using optimality test and amplitude clipping. A modified expression for computing the soft-output of a SISO decoder is proposed. The correlation discrepancy is employed to provide an optimality test performed in row and column decoding for evaluation of the reliability of row and column decision codewords. Based on the optimality test, a variable reliability factor is introduced for fast convergence. The optimality test is also used to derive a stopping criterion. Furthermore, amplitude clipping is employed to improve the performance of turbo product code. Simulation results on the performance of the introduced SISO decoder are presented
Keywords :
concatenated codes; convergence; convolutional codes; correlation theory; iterative decoding; optimisation; reliability; turbo codes; SISO decoder; amplitude clipping; concatenated convolutional codes; convergence; correlation discrepancy; iterative decoder; optimality test; row and column decision codewords; row and column decoding; soft-input/soft-output decoder; stopping criterion; turbo decoding; turbo product codes; variable reliability factor; Block codes; Concatenated codes; Convergence; Convolutional codes; Iterative algorithms; Iterative decoding; Maximum likelihood decoding; Performance evaluation; Product codes; Testing;
Conference_Titel :
Global Telecommunications Conference, 2001. GLOBECOM '01. IEEE
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-7206-9
DOI :
10.1109/GLOCOM.2001.965199
