Fractionally Spaced Bayesian Equalizer

摘要：

In digital communication system, conventional fractionally spaced equalizer (FSE) is based on linear transversal equalizer (LTE) where the noise enhancement influences the equalization result. Since equalization can also be viewed as a classification problem, the Bayesian equalizer which is the optimal symbol-decision equalizer can achieve better performance than LTE. A novel fractionally spaced Bayesian equalizer (FSBE) is proposed in this paper. Corresponding to sampling received signal at N times symbol rate, N parallel Bayesian equalizer can be designed. The decision variable in FSBE is defined as the product of the Bayesian decision variables in these N Bayesian equalizers. The proposed FSBE presents better BER characteristics than Bayesian equalizer. The validity of the proposed FSBE is demonstrated by the simulation.

作者: H.Lin K.Yamashita

作者单位: Department of Electrical & Electronic Systems College of Engineering, Osaka Prefecture University Sakai, Osaka, Japan 599-8531

会议类型: 国际会议

会议名称: 8th International Conference on Neural Information Processing(ICONIP 2001)(第八届国际神经信息处理大会)

会议地点: 上海

会议语种:英文

页码: 119-122

在线出版日期: 2001-11-14（万方平台首次上网日期，不代表论文的发表时间）