A New EM Acceleration Algorithm for Multi-user Detection

Author

Jinlong, Xian ; Jianwu, Li ; Yang, Yang

Author_Institution

Henan Univ. of Technol., Zhengzhou, China

Volume

1

fYear

2011

fDate

6-7 Jan. 2011

Firstpage

150

Lastpage

153

Abstract

The EM iterative algorithm is commonly used in recent years for missing data, which has the character of easy and popular applicability. But the EM algorithm has a fatal weakness that is slow convergence speed, base on that a new EM acceleration algorithm Quasi-Newton EM is proposed in order to solve this problem. In non-Gaussian noise simulation numerical is carried out, the results show that the proposed algorithm has a good performance, comparing with EM algorithm, and the convergence speed is better than standard EM algorithm.

Keywords

Newton method; convergence; expectation-maximisation algorithm; multiuser detection; convergence speed; expectation maximization acceleration algorithm; expectation maximization iterative algorithm; multiuser detection; nonGaussian noise simulation; quasi-Newton expectation maximization; Acceleration; Convergence; Iterative methods; Maximum likelihood estimation; Multiuser detection; Noise; Signal processing algorithms; EM; MUD; Non-Gaussian noise; Quasi-Newton;

fLanguage

English

Publisher

ieee

Conference_Titel

Measuring Technology and Mechatronics Automation (ICMTMA), 2011 Third International Conference on

Conference_Location

Shangshai

Print_ISBN

978-1-4244-9010-3

Type

conf

DOI

10.1109/ICMTMA.2011.43

Filename

5720744