摘要
为解决突发通信或非合作通信中接收数据短、直接均衡迭代难于收敛问题,该文将数据复用的思想引入Shalvi算法中。通过分析数据复用均衡后序列与原始码元序列峰度的关系,得出了数据复用方法有效收敛的原因。以此为基础,将该结论推广到整类Bussgang盲均衡算法,并分析了影响数据复用盲均衡效果的几个因素。仿真实验表明,数据复用方法大大减少了Bussgang算法收敛所需要的码元数目,有一定的工程实用价值。
In Short Burst wireless communication and non-corporation communication, the receive data is not long enough to use in Bussgang blind equalization method. In this paper reusing data was introduced to shalvi＇s blind equalization algorithm, by comparing the kurtosis of the reused data after equalizing and the original symbol, the reason of the algorithm＇s valid converging was got. Base on this conclusion, the reusing data method was introduced to Bussgang algorithm. And then the factors which will influent the effect of the reusing data equalization method were analyzed. Simulation results show that reusing data equalization can reduce the symbols of the Bussgang method need to converge, it has some practical utility.
出处
《电子与信息学报》
EI
CSCD
北大核心
2008年第9期2174-2177,共4页
Journal of Electronics & Information Technology
基金
高等学校博士学科点专项科研基金(20060003032)资助课题
关键词
非合作通信
数据复用
BUSSGANG
盲均衡
峰度
Non-corporation communication
Reusing data
Bussgang
Blind equalization
Kurtosis
