摘要
为了解决现代通信信道的码间干扰问题,提出了一种基于新拟牛顿法的自适应均衡算法,该算法用对称正定Hesse矩阵代替传统LMS/Newton法自相关矩阵的逆估计,克服了传统自相关矩阵估计误差对算法收敛性能的影响.信道均衡仿真结果表明,该算法具有较快的收敛速度和较低的误码率.
Solving the problem of algorithm in modern communication channel, a new method of quasi- Newton least mean square adaptive equalization is proposed. By replacing inverse matrix calculation of LMS/Newton correlation function by symmetric positive-definite Hesse matrix, the proposed algorithm re- duces the influence of traditional auto-correlation matrix estimate error for the algorithm convergence. Equalization simulation shows that higher convergence speed and lower bit error rate are obtained.
出处
《北京邮电大学学报》
EI
CAS
CSCD
北大核心
2012年第3期83-86,共4页
Journal of Beijing University of Posts and Telecommunications
基金
湖南省自然科学基金项目(11JJ3064)
中南大学中央高校基本科研业务费专项项目(2011QNZT048)
湖南省博士后科研专项计划项目(2011RS4074)
关键词
最小均方算法
新拟牛顿法
自适应均衡
误码率
least mean square algorithm
new quasi-Newton algorithm
adaptive equalization
bit error rate
