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Proceedings Paper

Recursive reduced-rank adaptive equalization for wireless communications
Author(s): Guido Dietl; Michael D. Zoltowski; Michael Joham
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Paper Abstract

The Multi-Stage Nested Wiener Filter (MSNWF) and the Conjugate Gradient (CG) method yield the solution of the Wiener-Hopf equation in the Krylov subspace of the covariance matrix of the observation and the crosscorrelation vector between the observation and the desired signal. Using the Lanczos algorithm instead of the Arnoldi algorithm for the MSNWF simplifies the computation of the Krylov subspace basis. In this paper, we show the relationship between the CG method and the Lanczos based MSNWF and finally derive that the MSNWF may be mathematically transformed into the CG algorithm. Consequently, we present a new implementation of the MSNWF where the weight vector and the Mean Square Error (MSE) is directly updated as each new stage is added. The new algorithm is applied to an Enhanced Data rates for GSM Evolution (EDGE) system where it linearily equalizes the received signal. Simulation results demonstrate the ability of the MSNWF to reduce the receiver complexity while maintaining the same level of system performance.

Paper Details

Date Published: 28 August 2001
PDF: 12 pages
Proc. SPIE 4395, Digital Wireless Communication III, (28 August 2001); doi: 10.1117/12.438286
Show Author Affiliations
Guido Dietl, Technische Univ. Muenchen (Germany)
Michael D. Zoltowski, Purdue Univ. (United States)
Michael Joham, Technische Univ. Muenchen (Germany)


Published in SPIE Proceedings Vol. 4395:
Digital Wireless Communication III
Raghuveer M. Rao; Soheil A. Dianat; Michael D. Zoltowski, Editor(s)

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