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Prefiltering for LMS Based Adaptive Receivers in DS/CDMA Communications
Teruyuki MIYAJIMA Kazuo YAMANAKA
Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Vol.E80A
No.12
pp.23572365 Publication Date: 1997/12/25
Online ISSN:
DOI:
Print ISSN: 09168508 Type of Manuscript: Special Section PAPER (Special Section on Spread Spectrum Techniques and Applications) Category: Keyword: multiple access, interference suppression, fast convergence, complexity reduction, Hebbian learning algorithm, KL transform,
Full Text: PDF(663.5KB)>>
Summary:
In this paper, three issues concerning the linear adaptive receiver using the LMS algorithm for singleuser demodulation in directsequence/codedivision multipleaccess (DS/CDMA) systems are considered. First, the convergence rate of the LMS algorithm in DS/CDMA environment is considered theoretically. Both upper and lower bounds of the eigenvalue spread of the autocorrelation matrix of receiver input signals are derived. It is cleared from the results that the convergence rate of the LMS algorithm becomes slow when the signal power of interferer is large. Second, fast converging technique using a prefilter is considered. The LMS based adaptive receiver using an adaptive prefilter adjusted by a Hebbian learning algorithm to decorrelate the input signals is proposed. Computer simulation results show that the proposed receiver provides faster convergence than the LMS based receiver. Third, the complexity reduction of the proposed receiver by prefiltering is considered. As for the reduced complexity receiver, it is shown that the performance degradation is little as compared with the full complexity receiver.

