The Use of Transform Domain LMS Algorithm to Improve The Performance of Blind Multi-user Detection

Author

Xiang, Zheng ; Zhi-Jie, Zhou ; Wen-qiang, Zhang

Author_Institution

Nanjing Inst. of Commun. Eng., Nanjing

fYear

2006

fDate

27-30 Nov. 2006

Firstpage

1

Lastpage

4

Abstract

The convergence speed of LMS algorithm is determined by the spread of the eigenvalues of the input signal´s auto-correlation matrix, which is too slow to meet the need in many conditions. Transform domain LMS algorithm turns the auto-correlation matrix into unit matrix in transform domain, so it can speed up the convergence effectively. In this paper, transform domain LMS algorithm was applied in multi-user detection. The simulation result showed that the algorithm can improve the performance of multi-user detector.

Keywords

adaptive filters; convergence of numerical methods; least mean squares methods; multiuser detection; blind multiuser detection; convergence speed; least mean square algorithm; signal autocorrelation matrix eigenvalues; transform domain LMS algorithm; Adaptive filters; Autocorrelation; Convergence; Eigenvalues and eigenfunctions; Fourier transforms; Least squares approximation; Mean square error methods; Multiuser detection; Partitioning algorithms; Stability; Convergence Speed; Multi-user Detection; Transform Domain LMS Algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Communication Technology, 2006. ICCT '06. International Conference on

Conference_Location

Guilin

Print_ISBN

1-4244-0800-8

Electronic_ISBN

1-4244-0801-6

Type

conf

DOI

10.1109/ICCT.2006.341887

Filename

4146488