一族新的Bussgang类指数拓展多模盲均衡算法  

A Novel Bussgang Category of Blind Equalization with Exponential Expanded Multi-modulus Algorithm

作　　者：阮秀凯[1] 蒋啸[2] 刘莉[3] 谈燕花[1] 

机构地区：[1]温州大学物理与电子信息工程学院,温州325035 [2]南京邮电大学自动化学院,南京210046 [3]中兴通讯股份有限公司南京研究所,南京210002

出　　处：《电子与信息学报》2013年第9期2187-2193,共7页Journal of Electronics & Information Technology

基　　金：国家自然科学基金青年项目(61201426)资助课题

摘　　要：该文提出一类新的Bussgang指数拓展多模算法,进一步降低传统Bussgang类盲均衡算法收敛时的稳态误差的效果。分析了新代价函数和误差函数等对算法性能的影响,并给出了算法复杂度分析,展示了如何利用作图法求得星座特征常数R的过程。为了削弱该算法对于高阶统计量信息的依赖,提出一种星座特征常量R的近似计算方法,使得星座特征常数不再成为新算法良好工作所必须的先验知识。最后以星座点甚密集方形QAM和非方形QAM系统为例,通过仿真验证该算法对密集QAM系统的盲均衡能力。A novel Bussgang category of blind equalization with Exponential Expanded Multi-Modulus Algorithm （EEMMA） is proposed. Comparing with those traditional Bussgang blind equalization algorithms, the proposed one can decrease further the steady-state error. This paper analyses the new cost function, and error function effects on the performance of the algorithm, and analyses the complexity of the novel algorithm. Meantime, a calculation approach of constellation characteristic constant R using graphing method is presented. An approximate calculation method of constellation characteristic constant R is shown to reduce the dependence on the information of high order statistics. The approximate calculation method of R makes the proposed algorithm does not rely on any priori knowledge of constellations. Finally, using dense square and non-square QAM systems, simulation results demonstrate the effectiveness of this new algorithm.

关 键 词：无线通信 信号处理 盲均衡 Bussgang算法 星座特征常数 

分 类 号：TN92[电子电信—通信与信息系统] TN911.7[电子电信—信息与通信工程]