標題: A maximum-likelihood soft-decision sequential decoding algorithm for binary convolutional codes
作者: Han, YSS
Chen, PN
Wu, HB
電信工程研究所
Institute of Communications Engineering
關鍵字: coding;convolutional codes;decoding;maximum-likelihood;sequential decoding;soft-decision
公開日期: 1-Feb-2002
摘要: In this letter, we present a trellis-based maximum-likelihood soft-decision sequential decoding algorithm (MLSDA) for binary convolutional codes. Simulation results show that, for (2, 1, 6) and (2, 1, 16) codes antipodally transmitted over the AWGN channel, the average computational effort required by the algorithm is several orders of magnitude less than that of the Viterbi algorithm. Also shown via simulations upon the same system models is that, under moderate SNR, the algorithm is about four times faster than the conventional sequential decoding algorithm (i.e., stack algorithm with Fano metric) having comparable bit-error probability.
URI: http://dx.doi.org/10.1109/26.983310
http://hdl.handle.net/11536/29019
ISSN: 0090-6778
DOI: 10.1109/26.983310
期刊: IEEE TRANSACTIONS ON COMMUNICATIONS
Volume: 50
Issue: 2
起始頁: 173
結束頁: 178
Appears in Collections:Conferences Paper


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