NDLI: An efficient tail-biting MAP decoder for convolutional turbo codes in OFDM systems

Content Provider	IEEE Xplore Digital Library
Author	Se-Bin Im Min-Gu Kim Hyung-Jin Choi
Copyright Year	2004
Description	Author affiliation: Dept. of Inf. & Commun. Eng., Sung Kyun Kwan Univ., Suwon, South Korea (Se-Bin Im)
Abstract	In this paper, we consider an efficient tail-biting MAP (Maximum a posteriori probability) decoding algorithm for CTC (Convolutional Turbo Codes) specified in IEEE 802.16a/e OFDM. For short block lengths, the CTC encoder uses tail-biting scheme instead of inserting tail bits for path termination. To process a tail-biting codeword, the decoder begins with estimating the circulation states. But this estimation procedure increases the computational complexity. We first describe the CTC decoding process based on the MAP algorithm of the nonbinary codes. Using a suboptimal iterative decoding method, we propose an efficient circulation states estimation algorithm. The BER (Bit Error Rate) performance of the proposed algorithm is evaluated using computer simulations. The results show that the proposed algorithm performs close to the ideal case with known circulation states information.
Sponsorship	IEEE Region 10
Starting Page	589
Ending Page	592
File Size	1908699
Page Count	4
File Format	PDF
ISBN	0780385608
DOI	10.1109/TENCON.2004.1414664
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-11-24
Publisher Place	Thailand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Convolutional codes Turbo codes OFDM Iterative algorithms Iterative decoding State estimation Bit error rate Tail Computational complexity Computer simulation
Content Type	Text
Resource Type	Article

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