A widely linear LMS algorithm for MAI suppression for DS-CDMA

Author

Schober, R. ; Gerstacker, W.H. ; Lampe, L.H.-J.

Author_Institution

Dept. of Electr. & Comput. Eng., British Columbia Univ., Canada

Volume

4

fYear

2003

fDate

11-15 May 2003

Firstpage

2520

Abstract

In this paper, a novel data-aided stochastic gradient algorithm for adjustment of the widely linear (WL) minimum mean-squared error (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 steady-state signal-to-interference-plus-noise ratio (SINR) of the proposed WL least-mean-square (LMS) algorithm, and we also investigate its speed of convergence. Both analytical considerations and simulations show in good agreement the superiority of the novel WL adaptive algorithm. Nevertheless, the computational complexity of the proposed algorithm is lower than that of the linear LMS algorithm.

Keywords

code division multiple access; computational complexity; filtering theory; interference suppression; least mean squares methods; spread spectrum communication; DS-CDMA; MAI suppression; MMSE filter; SINR; computational complexity; direct sequence code division multiple access; least mean square algorithm; minimum mean square error filter; multiple access interference; steady-state signal-to-interference-plus-noise ratio; widely linear LMS algorithm; Algorithm design and analysis; Direct-sequence code-division multiple access; Least squares approximation; Multiaccess communication; Multiple access interference; Nonlinear filters; Signal analysis; Signal to noise ratio; Steady-state; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, 2003. ICC '03. IEEE International Conference on

Print_ISBN

0-7803-7802-4

Type

conf

DOI

10.1109/ICC.2003.1204401

Filename

1204401