DocumentCode :
1197850
Title :
Improved subspace-based channel estimation algorithm for DS/CDMA systems exploiting pulse-shaping information
Author :
Gaffar, M. Y Abdul ; Broadhurst, A.D. ; Takawira, F.
Author_Institution :
Defencetek, Council for Sci. & Ind. Res., Pretoria, South Africa
Volume :
152
Issue :
5
fYear :
2005
Firstpage :
533
Lastpage :
540
Abstract :
An improved subspace-based channel estimation algorithm for DS/CDMA system is presented. The proposed algorithm is based on the Torlak/Xu algorithm for asynchronous DS/CDMA systems. The aim is to incorporate knowledge of the pulse-shaping filter into the Torlak/Xu subspace algorithm with the objective of reducing the variance of the channel estimates. The improved algorithm is developed from a system model of a DS/CDMA system where the output is oversampled with respect to the chip rate. By oversampling the received signal, knowledge of the pulse-shaping filter is incorporated into the proposed channel estimation algorithm. It is shown that the variance of the channel estimate for the proposed subspace algorithm is less than the Torlak/Xu algorithm that does not exploit pulse-shaping filter information. A mathematical expression of the mean square error of estimation for the improved algorithm is also derived. It is shown that the analytical expression provides a good approximation of the actual mean square error for high SNR signals.
Keywords :
3G mobile communication; FIR filters; channel estimation; code division multiple access; mean square error methods; multipath channels; pulse shaping; signal sampling; spread spectrum communication; DS/CDMA system; Torlak-Xu algorithm; analytical expression; asynchronous system; chip rate; direct sequence-code division multiple access; mean square error estimation; pulse-shaping filter; received signal sampling; subspace-based channel estimation algorithm;
fLanguage :
English
Journal_Title :
Communications, IEE Proceedings-
Publisher :
iet
ISSN :
1350-2425
Type :
jour
DOI :
10.1049/ip-com:20041078
Filename :
1522062
Link To Document :
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