Analysis of Widely Linear Iterate-Averaging Affine LMS Algorithm for DS-CDMA MAI Suppression

Author

Zhou, Yuanjian ; Peng, Han ; Zhu, Lina

Author_Institution

Dept. of Comput. Sci., Guangdong Police Coll., Guangzhou

fYear

2008

fDate

12-14 Oct. 2008

Firstpage

1

Lastpage

4

Abstract

Motivated by the recent development on iterate-averaging (IA) for accelerating convergence rates of stochastic approximation algorithms, and widely linear (WL) processing for improving performance of the linear minimum mean-squared error (MMSE) multiuser receivers, in this paper, a widely linear IA affine LMS algorithm (WL IA-ALMS) for adjustment of the WL MMSE filter for multiple access interference (MAI) suppression for direct-sequence code-division multiple access (DS-CDMA) is introduced and analyzed. We give analytical expressions for the stability region in the mean and in the mean square, the steady-state signal-to-interference-plus-noise ratios (SINR) of the proposed algorithms. We also investigate its speed of convergence for DS-CDMA MAI suppression.

Keywords

code division multiple access; interference suppression; iterative methods; least mean squares methods; multiuser detection; radio receivers; radiofrequency interference; spread spectrum communication; stochastic processes; DS-CDMA MAI suppression; direct-sequence code-division multiple access; linear iterate-averaging affine LMS algorithm; linear minimum mean-squared error; multiple access interference suppression; multiuser receivers; steady-state signal-to-interference-plus-noise ratios; stochastic approximation algorithm; Acceleration; Algorithm design and analysis; Approximation algorithms; Convergence; Direct-sequence code-division multiple access; Least squares approximation; Multiaccess communication; Multiple access interference; Nonlinear filters; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on

Conference_Location

Dalian

Print_ISBN

978-1-4244-2107-7

Electronic_ISBN

978-1-4244-2108-4

Type

conf

DOI

10.1109/WiCom.2008.453

Filename

4678362