EM Acceleration Algorithm using the Vector-ε Apply in Multi-user Detection

被引：0
|
作者：
Xian Jinlong [1 ]
Li Jianwu [1 ]
机构：
[1] Henan Univ Technol, Zhengzhou 450001, Henan, Peoples R China
来源：
ADVANCED RESEARCH ON AUTOMATION, COMMUNICATION, ARCHITECTONICS AND MATERIALS, PTS 1 AND 2 | 2011年 / 225-226卷 / 1-2期
关键词：
EM iterative algorithm; Multi-user detection; Vector-epsilon algorithm;
D O I：
10.4028/www.scientific.net/AMR.225-226.280
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The EM iterative algorithm is a very general and popular algorithm that commonly used for missing data to find maximum likelihood in recent years, which has the character of stability, flexibility and simlicity. However, the EM algorithm has a great weakness that the convergence speed is slowly; Acceleration of the EM algorithm using the Vector-epsilon method is proposed in order to solve this problem in this paper. In Multi-user Detection, via this accelerated algorithm, we get a good performance which trends to ML performance and improving the computational efficiency, and compared its speed of convergence with the EM algorithm that Vector-epsilon acceleration algorithm has faster convergence than the standard EM algorithm.
引用
收藏
页码：280 / 283
页数：4
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