Iterative decoding using optimum soft input - hard output module

Authors:
Michael Kerner;Ofer Amrani
Affiliations:
School of Electrical Engineering, Tel Aviv University, Tel Aviv, Israel;Intel Corp., Petach Tiqua, Israel
Venue:
IEEE Transactions on Communications
Year:
2009

Citing 1
Cited 0

An intuitive justification and a simplified implementation of the MAP decoder for convolutional codes

IEEE Journal on Selected Areas in Communications

Quantified Score

Hi-index	0.00

Visualization

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.