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Link to original content: https://doi.org/10.1155/2007/25672
A Generalized Algorithm for Blind Channel Identification with Linear Redundant Precoders | EURASIP Journal on Advances in Signal Processing | Full Text
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A Generalized Algorithm for Blind Channel Identification with Linear Redundant Precoders

EURASIP Journal on Advances in Signal Processing volume 2007, Article number: 025672 (2006) Cite this article

Abstract

It is well known that redundant filter bank precoders can be used for blind identification as well as equalization of FIR channels. Several algorithms have been proposed in the literature exploiting trailing zeros in the transmitter. In this paper we propose a generalized algorithm of which the previous algorithms are special cases. By carefully choosing system parameters, we can jointly optimize the system performance and computational complexity. Both time domain and frequency domain approaches of channel identification algorithms are proposed. Simulation results show that the proposed algorithm outperforms the previous ones when the parameters are optimally chosen, especially in time-varying channel environments. A new concept of generalized signal richness for vector signals is introduced of which several properties are studied.

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Authors and Affiliations

  1. Department of Electrical Engineering, California Institute of Technology, Pasadena, CA, 91125, USA

    Borching Su & P. P. Vaidyanathan

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  1. Borching Su
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  2. P. P. Vaidyanathan
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Correspondence to Borching Su.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Su, B., Vaidyanathan, P.P. A Generalized Algorithm for Blind Channel Identification with Linear Redundant Precoders. EURASIP J. Adv. Signal Process. 2007, 025672 (2006). https://doi.org/10.1155/2007/25672

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  • DOI: https://doi.org/10.1155/2007/25672

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