DocumentCode :
422983
Title :
Maximum likelihood decoding analysis of accumulate-repeat-accumulate codes
Author :
Abbasfar, Aliazam ; Divsalar, Dariush ; Yao, Kung
Author_Institution :
Dept. of Electr. Eng., California Univ., Los Angeles, CA, USA
Volume :
1
fYear :
2004
fDate :
29 Nov.-3 Dec. 2004
Firstpage :
514
Abstract :
Repeat-accumulate (RA) codes are the simplest turbo-like codes that achieve good performance. However, they cannot compete with turbo codes or low-density parity-check codes (LDPC) as far as performance is concerned. The accumulate-repeat-accumulate (ARA) codes, as a subclass of LDPC codes, are obtained by adding a pre-coder in front of the RA codes with puncturing, where an accumulator is chosen as the precoder. These codes not only are very simple, but also achieve excellent performance with iterative decoding. In this paper, the performance of these codes with maximum likelihood (ML) decoding are analyzed and compared to the random codes by very tight bounds. The weight distributions of some simple ARA codes are obtained, and through existing tightest bounds we have shown that the ML SNR thresholds of the ARA codes approach very closely to the performance of random codes. We have shown that the use of a precoder improves the SNR threshold but the interleaving gain remains unchanged with respect to the RA codes with puncturing.
Keywords :
iterative decoding; maximum likelihood decoding; parity check codes; random codes; ARA codes; LDPC; ML SNR thresholds; ML decoding bounds; RA codes with puncturing; accumulate-repeat-accumulate codes; accumulator precoder; interleaving gain; iterative decoding performance; low-density parity-check codes; maximum likelihood decoding analysis; pre-coder; random codes; turbo-like codes; weight distributions; AWGN; Bit error rate; Block codes; Iterative decoding; Laboratories; Maximum likelihood decoding; Parity check codes; Performance analysis; Propulsion; Turbo codes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference, 2004. GLOBECOM '04. IEEE
Print_ISBN :
0-7803-8794-5
Type :
conf
DOI :
10.1109/GLOCOM.2004.1378000
Filename :
1378000
Link To Document :
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