DocumentCode :
428115
Title :
Performance and bounds for repeat tree codes
Author :
Heo, Jun ; Chung, Kyuhyuk
Author_Institution :
Dept. of Electron. Eng., Konkuk Univ., Seoul, South Korea
Volume :
2
fYear :
2004
fDate :
26-29 Sept. 2004
Firstpage :
1271
Abstract :
The repeat accumulate (RA) codes (Divsalar et al. (1998)) are serial concatenated codes (SCC) consisting of a repetition code and an accumulator which are connected through an interleaver. They have the advantage of low encoding complexity and good performance. On the other hand, concatenated tree (CT) codes (Ping et al. (2001)) are parallel concatenated codes (PCC) and also show good performance with low encoding and decoding complexity. The constituent code of CT codes has a tree structure which consists of nonrecursive information bits as well as recursive information bits. In this paper, we present a new code which is constructed based on the RA codes but shows much better performance and better thresholds (i.e., higher noise level or lower signal-to-noise ratio). The main contribution of this paper is putting nonrecursive information bits as well as recursive information bits in the accumulating part of RA codes. The enhanced performance is shown by computer simulation and the asymptotic performance in the waterfall region is shown by density evolution. We also show the upper bound on the performance of the RT code for a specific interleaver using the simple tight bound and specific input-output weight distributions that are obtained by the sample based MLE (maximum likelihood estimator).
Keywords :
concatenated codes; interleaved codes; iterative decoding; maximum likelihood estimation; tree codes; RA codes; accumulator; asymptotic performance; density evolution; encoding complexity; input-output weight distributions; interleaver; maximum likelihood estimator; nonrecursive information bits; recursive information bits; repeat accumulate codes; repeat tree codes; repetition code; sample based MLE; serial concatenated codes; waterfall region; Computer simulation; Concatenated codes; Convergence; Encoding; Iterative decoding; Maximum likelihood decoding; Maximum likelihood estimation; Parity check codes; Tree data structures; Upper bound;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference, 2004. VTC2004-Fall. 2004 IEEE 60th
ISSN :
1090-3038
Print_ISBN :
0-7803-8521-7
Type :
conf
DOI :
10.1109/VETECF.2004.1400227
Filename :
1400227
Link To Document :
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