Modified leaky LMS algorithm for channel estimation in DS-CDMA systems

Author

Jo, Sungkwon ; Choi, Jihoon ; Lee, Yong H.

Author_Institution

Inf. & Telecommun. R&D Center, Samsung Electron. Co. Ltd., Gyeonggi, South Korea

Volume

6

Issue

5

fYear

2002

fDate

5/1/2002 12:00:00 AM

Firstpage

202

Lastpage

204

Abstract

A simple adaptive least mean square (LMS) type algorithm for channel estimation is developed based on certain modifications to finite-impulse response (FIR) Wiener filtering. The proposed algorithm is nearly blind since it does not require any training sequence or channel statistics, and it can be implemented using only noise variance knowledge. A condition guaranteeing the convergence of the algorithm and theoretical mean square error (MSE) values are also derived. Computer simulation results demonstrate that the proposed algorithm can yield a smaller MSE than existing techniques, and that its performance is close to that of optimal Wiener filtering.

Keywords

FIR filters; Wiener filters; code division multiple access; filtering theory; least mean squares methods; multiuser channels; parameter estimation; spread spectrum communication; DS-CDMA systems; FIR Wiener filtering; MSE; adaptive least mean square algorithm; algorithm convergence; channel estimation; computer simulation results; direct-sequence code-division multiple access; finite-impulse response Wiener filtering; mean square error; modified leaky LMS algorithm; noise variance; optimal Wiener filtering; Channel estimation; Computer simulation; Convergence; Filtering algorithms; Finite impulse response filter; Least squares approximation; Mean square error methods; Multiaccess communication; Statistics; Wiener filter;

fLanguage

English

Journal_Title

Communications Letters, IEEE

Publisher

ieee

ISSN

1089-7798

Type

jour

DOI

10.1109/4234.1001664

Filename

1001664