Title :
Asymptotic analysis of superorthogonal turbo codes
Author :
Wintzell, Ola ; Lentmaier, Michael ; Zigangirov, Kamil Sh
Author_Institution :
Dept. of Inf. Technol., Lund Univ., Sweden
fDate :
1/1/2003 12:00:00 AM
Abstract :
We examine a low-rate turbo coding scheme based on superorthogonal convolutional encoders (SOCEs). The low-rate coding is suitable for code-division multiple-access (CDMA) applications. We use the property that the component encoders are equivalent to conventional convolutional encoders to analyze the asymptotic performance. We analyze the iterative decoding performance that can be achieved when both the code length and the number of iterations tend to infinity and present a bound on the iterative limit of the code construction. It is shown by asymptotic analysis, that the rate 1/7,1/15, and 1/31 codes with component encoders of memory 3,4, and 5 have iterative limits below -0.65, -0.88, and -0.95 dB, respectively. Simulations for codes with large permutors (interleavers) confirm these asymptotic results. The construction is general and can be done for codes of lower rates as well.
Keywords :
code division multiple access; concatenated codes; convolutional codes; error statistics; interleaved codes; iterative decoding; turbo codes; BER performance; CDMA; asymptotic analysis; asymptotic performance; bit error rate performance; code length; code-division multiple-access; component encoders; convolutional encoders; interleavers; iterative decoding performance; iterative limits; low-rate turbo coding; memory; parallel concatenated codes; recursive superorthogonal code; simulations; superorthogonal convolutional encoders; superorthogonal turbo codes; turbo Hadamard codes; Convolutional codes; Information technology; Iterative algorithms; Iterative decoding; Maximum likelihood decoding; Multiaccess communication; Parity check codes; Performance analysis; Turbo codes; Upper bound;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2002.806143