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Iterative Decoding vs. Viterbi Decoding: A Comarison

version 1.0.0.0 (11.8 KB) by Santosh Shah
rum .m file before running mdl file.

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Updated 18 Mar 2008

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Abstract- Decoding algorithms employed in wireless
communication use either hard decision decoding or soft decision
decoding. Quantization is use in soft decision e.g. in Viterbi
decoding. Similarly in iterative decoders (Turbo Codes) either
serially concatenated or parallely concatenated decoders with
interleavers use soft-input soft-output (SISO) and additive loglikelihood
version (L-SISO) algorithms, to compute a posteriori
probability (APP). Even though soft decision is more powerful
than hard decision decoders, many systems can not use soft
decision algorithms, e.g. in GSM. In GSM channel decoding is
used after de-interleaving. So, if one were to use iterative
decoding, one is constrained to hard decision decoders. We
propose the uses of soft decision iterative decoders (Turbo codes)
in place of hard decision data (i.e. data in binary format). We
compare the performance of hard decision Viterbi decoding with
iterative decoders.

Cite As

Santosh Shah (2021). Iterative Decoding vs. Viterbi Decoding: A Comarison (https://www.mathworks.com/matlabcentral/fileexchange/19240-iterative-decoding-vs-viterbi-decoding-a-comarison), MATLAB Central File Exchange. Retrieved .

Comments and Ratings (4)

yu wang

Ashwini

lila zinal

bonsoir
j'ai utilise le programme de simulation mais j'ai obtenu le resultat de hard decision (Viterbi mieux que celui du soft decion du code concatene.
please voulez vous m'aider ou m'orientez vers les valeurs de simulation par defaut.

Heri Firmansyah

MATLAB Release Compatibility
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