A Unified Framework for SNR Mismatch in Turbo Algorithms

摘要：

In this paper, we propose a unified framework to examine the effect of SNR mismatch on the performance of turbo algorithms, such as turbo equalization and turbo decoding. The proposed framework is based on a general model for a biased estimate of the signal-tonoise ratio (SNR) of the channel. It is shown how the estimation model can unify previously SNR mismatch models, which become special cases. Finally, simulation results show the effect of SNR mismatch on the bit error rate (BER) performance of a turbo equalizer based on the biased estimate of the channel SNR.

作者: Ke Xu Behnam Shahrrava Jianwei Wan

作者单位: National University of Defense Technology, Changsha, 410073, P.R.China University of Windsor, Windsor, N9B 3P4, Canada

会议类型: 国际会议

会议名称: 2010年无线通信与信号处理国际会议

会议地点: 上海

会议语种:英文

页码: 1-4

在线出版日期: 2010-10-20（万方平台首次上网日期，不代表论文的发表时间）