Majority Voting Procedure Allowing Soft Decision Decoding of Linear Block Codes on Binary Channels

Majority Voting Procedure Allowing Soft Decision Decoding of Linear Block Codes on Binary Channels

In this paper we present an efficient algorithm to decode linear block codes on binary channels. The main idea consists in using a vote procedure in order to elaborate artificial reliabilities of the binary received word and to present the obtained real vector r as inputs of a SIHO decoder (Soft In/Hard Out). The goal of the latter is to try to find the closest codeword to r in terms of the Euc...

Soft-decision decoding of binary linear block codes based on an iterative search algorithm

Maximum-likelihood Soft-decision Decoding for Binary Linear Block Codes Based on Their Supercodes

Based on the notion of supercodes, we propose a two-phase maximum-likelihood soft-decision decoding (tpMLSD) algorithm for binary linear block codes in this work. The first phase applies the Viterbi algorithm backwardly to a trellis derived from the parity-check matrix of the supercode of the linear block code. Using the information retained from the first phase, the second phase employs the pr...

Genetic Algorithms for Soft-Decision Decoding of Linear Block Codes

Soft-decision decoding is an NP-hard problem of great interest to developers of communication systems. We show that this problem is equivalent to the problem of optimizing Walsh polynomials. We present genetic algorithms for soft-decision decoding of binary linear block codes and compare the performance with various other decoding algorithms including the currently developed A* algorithm. Simul...

Computationally efficient soft-decision decoding of linear block codes based on ordered statistics

This paper presents a novel approach to soft decision decoding for binary linear block codes. The basic idea of this approach is to achieve a desired error performance progressively in a number of stages. For each decoding stage, the error performance is tightly bounded and the decoding is terminated at the stage where either near-optimum error performance or a desired level of error performanc...