Iterative Decoding of Non-binary Turbo Codes Using Symbol Based SOVA Algorithm

摘要：

Bandwidth efficient turbo coding schemes attract Increasing research Interest these years，most of these schemes are constructed by non-binary convolutional codes and need to be decoded symbol by symbol instead of bit by bit．In this paper,a modified symbol based SOVA decoding algorithm for non-binary turbo codes is proposed．Using our symbol based SOVA algorithm．soft output information from the prior iteration can be accepted as a priori soft input information for current iteration．The experimental results show that our algorithm can achieve close performance to MaxLogMAP algorithm for large interleaver size with lower complexity,and the performance loss of the SOVA compared to the optimal MAP algorithm is only about 0.3 dB at a BER Of 10-4.

作者: Jianjun Liu Guofang Tu

作者单位: School of Information Science and Engineering Graduated University of Chinese Academy of Science Beijing,China

会议类型: 国际会议

会议名称: 2006 International Conference on Communications,Circuits and Systems(第四届国际通信、电路与系统学术会议)

会议地点: 广西桂林

会议语种:英文

页码: 689-693

在线出版日期: 2006-06-25（万方平台首次上网日期，不代表论文的发表时间）