Title :
Iterative decoding using optimum soft input - hard output module
Author :
Kerner, Michael ; Amrani, Ofer
Author_Institution :
Intel Corp., Petach Tiqua, Israel
fDate :
7/1/2009 12:00:00 AM
Abstract :
Maximum likelihood sequence estimation (MLSE) in the shape of the Viterbi algorithm, although a strictly hard-output approach, is utilized for iterative decoding of turbo codes. It is a practical alternative when decoding complexity and speed may be traded for performance.
Keywords :
Viterbi decoding; iterative decoding; maximum likelihood decoding; maximum likelihood sequence estimation; turbo codes; MLSE; Viterbi algorithm; iterative decoding; maximum likelihood sequence estimation; optimum soft input-hard output module; turbo codes; AWGN; Additive white noise; Bit error rate; Concatenated codes; Convolutional codes; Iterative algorithms; Iterative decoding; Maximum likelihood estimation; Turbo codes; Viterbi algorithm; Turbo code, iterative decoding;
Journal_Title :
Communications, IEEE Transactions on
DOI :
10.1109/TCOMM.2009.07.070167
