Comparison of MOE and blind LMS

Author

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

Author_Institution

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

Volume

7

Issue

5

fYear

2003

fDate

5/1/2003 12:00:00 AM

Firstpage

204

Lastpage

206

Abstract

In this letter, we provide a rigorous analytical comparison of two blind adaptive algorithms for adjustment of the minimum mean-squared error (MMSE) filter for multiple access interference (MAI) suppression for direct-sequence code-division multiple access (DS-CDMA). In particular, we compare the popular minimum-output-energy (MOE) algorithm and the blind least-mean-square algorithm (BLMS) in terms of complexity, transient behavior, convergence, stability, and steady-state performance. We show analytically that the MOE algorithm enjoys a faster speed of convergence and has a superior steady-state performance, while the BLMS algorithm is computationally less complex.

Keywords

code division multiple access; digital filters; interference suppression; least mean squares methods; spread spectrum communication; BLMS; DS-CDMA; MAI suppression; MMSE filter; MOE; blind LMS; blind adaptive algorithms; blind least-mean-square algorithm; complexity; convergence; direct-sequence code-division multiple access; minimum mean-squared error filter; minimum-output-energy algorithm; multiple access interference; stability; steady-state performance; transient behavior; Adaptive algorithm; Adaptive filters; Algorithm design and analysis; Convergence; Direct-sequence code-division multiple access; Least squares approximation; Multiaccess communication; Multiple access interference; Stability; Steady-state;

fLanguage

English

Journal_Title

Communications Letters, IEEE

Publisher

ieee

ISSN

1089-7798

Type

jour

DOI

10.1109/LCOMM.2003.812177

Filename

1200181