NDLI: Blind adaptive reduced-rank estimation based on the constant modulus criterion and diversity combined decimation and interpolation

Content Provider	IEEE Xplore Digital Library
Author	de Lamare, R.C. Sampaio-Neto, R. Haardt, M.
Copyright Year	2008
Description	Author affiliation: Commun. Res. Group, York Univ., York (de Lamare, R.C.; Sampaio-Neto, R.; Haardt, M.)
Abstract	This work proposes a low-complexity blind adaptive reduced-rank method (BARC) for symbol estimation using an adaptive decimation and interpolation scheme based on diversity-combining and the constant modulus criterion for interference suppression. The proposed approach employs an iterative procedure to jointly optimize the interpolation, decimation and estimation tasks for blind reduced-rank parameter estimation. We describe joint iterative estimators based on the constrained constant modulus (CCM) criterion, introduce alternative decimation structures, including the optimal decimation scheme, and develop low-complexity stochastic gradient adaptive algorithms for the proposed structure. Simulations for a CDMA interference suppression application show an excellent performance and substantial gains over prior art.
Starting Page	2813
Ending Page	2816
File Size	165360
Page Count	4
File Format	PDF
ISBN	9781424414833
ISSN	15206149
DOI	10.1109/ICASSP.2008.4518234
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-03-31
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Interpolation Interference suppression Iterative methods Parameter estimation Interference constraints Stochastic processes Adaptive algorithm Multiaccess communication Performance gain Art iterative methods Blind adaptive estimation reduced-rank techniques
Content Type	Text
Resource Type	Article

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