A blind widely linear minimum-output-energy algorithm

Author

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

Author_Institution

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

Volume

1

fYear

2003

fDate

20-20 March 2003

Firstpage

612

Abstract

In this paper, a novel blind minimum-output-energy (MOE) algorithm for adjustment of the unbiased widely linear (WL) minimum mean-squared error (MMSE) filters for multiple access interference (MAI) suppression for direct-sequence code-division multiple access (DS-CDMA) is introduced and analyzed. We analyze the steady-state signal-to-interference-plus-noise ratio (SINR) and the convergence of the proposed blind WL stochastic gradient algorithm. Wherever possible comparisons with the linear blind MOE algorithm are made. Both analytical considerations and simulations show in good agreement the superiority of the novel WL adaptive algorithm. Nevertheless, it requires a lower computational complexity than its linear counterpart.

Keywords

code division multiple access; digital filters; gradient methods; interference suppression; least mean squares methods; spread spectrum communication; stochastic processes; DS-CDMA; MAI suppression; blind minimum-output-energy algorithm; blind widely linear stochastic gradient algorithm; computational complexity; direct-sequence code-division multiple access; minimum mean-square error; multiple access interference suppression; signal-to-interference-plus-noise ratio; steady-state SINR; unbiased widely linear MMSE filter; Algorithm design and analysis; Convergence; Direct-sequence code-division multiple access; Multiaccess communication; Multiple access interference; Nonlinear filters; Signal analysis; Signal to noise ratio; Steady-state; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications and Networking, 2003. WCNC 2003. 2003 IEEE

Conference_Location

New Orleans, LA, USA

ISSN

1525-3511

Print_ISBN

0-7803-7700-1

Type

conf

DOI

10.1109/WCNC.2003.1200420

Filename

1200420