In this thesis we describe a new concatenated decoding scheme
based on iterations between an inner sequentially decoded
convolutional code of rate R=1/4 and memory M=23, and block
interleaved outer Reed-Solomon codes with non-uniform profile.
With this scheme decoding with good performance is possible as low
as Eb/No=0.6 dB, which is about 1.7 dB below the signal-to-noise
ratio that marks the cut-off rate for the convolutional code. This
is possible since the iteration process provides the sequential
decoders with side information that allows a smaller average load
and minimizes the probability of computational overflow.
Analytical results for the probability that the first Reed-Solomon
word is decoded after C computations are presented. This is
supported by simulation results that are also extended to other
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