Average-entropy variation in iterative decoding of turbo codes and its application

被引:39
作者
Chen, J. Y. [1 ]
Zhang, L. [1 ]
Qin, J. [1 ]
机构
[1] Sun Yat Sen Univ, Dept Elect & Commun Engn, Guangzhou, Guangdong, Peoples R China
关键词
D O I
10.1049/el:20081736
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A new stopping criterion for turbo codes is proposed. Based on the entropy concept, a metric called average-entropy to measure the average uncertainty of the estimated bits of each iteration is derived. This metric has a close relation to the bit error rate (BER). The average-entropy decreases as BER reduces and vice versa. The proposed stopping criterion stops the iterative algorithm when there is not a, or little, reduction of the average-entropy. Compared with other well-known criteria, this new criterion reduces the average number of iterations while maintaining error correction performance.
引用
收藏
页码:1314 / U32
页数:2
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