Title
Analysis, design, and iterative decoding of double serially concatenated codes with interleavers
Abstract
A double serially concatenated code with two interleavers consists of the cascade of an outer encoder, an interleaver permuting the outer codeword bits, a middle encoder, another interleaver permuting the middle codeword bits, and an inner encoder whose input words are the permuted middle codewords. The construction can be generalized to h cascaded encoders separated by h-1 interleavers, where h>3. We obtain upper bounds to the average maximum likelihood bit-error probability of double serially concatenated block and convolutional coding schemes. Then, we derive design guidelines for the outer, middle, and inner codes that maximize the interleaver gain and the asymptotic slope of the error probability curves. Finally, we propose a low-complexity iterative decoding algorithm. Comparisons with parallel concatenated convolutional codes, known as “turbo codes”, and with the proposed serially concatenated convolutional codes are also presented, showing that in some cases, the new schemes offer better performance
Year
DOI
Venue
1998
10.1109/49.661111
IEEE Journal on Selected Areas in Communications
Keywords
Field
DocType
permuted middle codewords,double serially concatenated block,double serially concatenated code,concatenated codes,convolutional code,interleaver gain,middle encoder,iterative decoding,convolutional coding scheme,middle codeword bit,index terms— code design,inner encoder,parallel concatenated convolutional code,iterative de- coding.,computational complexity,decoding,probability,viterbi algorithm,turbo code,upper bound,performance,iterative methods,algorithms,block codes,error probability,maximum likelihood,turbo codes,space technology,propulsion,convolutional codes,indexing terms
Discrete mathematics,Concatenated error correction code,Convolutional code,Computer science,Serial concatenated convolutional codes,Block code,Turbo code,Algorithm,Real-time computing,Encoder,Code word,Decoding methods
Journal
Volume
Issue
ISSN
16
2
0733-8716
Citations 
PageRank 
References 
49
6.67
8
Authors
4
Name
Order
Citations
PageRank
S. Benedetto1883167.24
D. Divsalar21628499.31
Guido Montorsi31032179.05
F. Pollara453253.32