Title :
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
fDate :
5/1/2002 12:00:00 AM
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;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/4234.1001664
