NDLI: Reduced-rank equalization for EDGE via conjugate gradient implementation of multi-stage nested Wiener filter

Content Provider	IEEE Xplore Digital Library
Author	Dietl, G. Zoltowski, M.D. Joham, M.
Copyright Year	2001
Description	Author affiliation: Inst. for Circuit Theor. & Signal Process., Munich Univ. of Technol., Germany (Dietl, G.)
Abstract	The Wiener filter solves the Wiener-Hopf equation and may be approximated by the multi-stage nested Wiener filter (MSNWF) which lies in the Krylov subspace of the covariance matrix of the observation and the cross-correlation vector between the observation and the desired signal. Moreover, since the covariance matrix is Hermitian, the Lanczos algorithm can be used to compute the Krylov subspace basis. The conjugate gradient (CG) method is another approach to solving a system of linear equations. We derive the relationship between the CG method and the Lanczos based MSNWF and finally transform the formulas of the MSNWF into those of the CG algorithm. Consequently, we present a CG based MSNWF where the filter weights and the mean square error (MSE) are updated at each iteration step. The resulting algorithm is used for linear equalization of the received signal in an enhanced data rates for GSM evolution (EDGE) system. Simulation results demonstrate the ability of the MSNWF to reduce receiver complexity while maintaining the same level of system performance.
Starting Page	1912
Ending Page	1916
File Size	502942
Page Count	5
File Format	PDF
ISBN	0780370058
ISSN	10903038
DOI	10.1109/VTC.2001.956534
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-10-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Covariance matrix Signal processing algorithms Character generation Wiener filter Equations Mean square error methods Eigenvalues and eigenfunctions Vectors GSM System performance
Content Type	Text
Resource Type	Article

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