Adaptive algorithms for blind channel estimation in OFDM systems

The problem of blind adaptive channel estimation in OFDM systems is considered. Focusing on the zero padding approach, for the first time adaptive algorithms are proposed that blindly identify the impulse response of the multipath channel. In particular, we develop RLS and LMS schemes that exhibit r...

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Hauptverfasser:	Doukopoulos, X.G., Moustakides, G.V.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Adaptive algorithm Applied sciences Blind equalizers Channel estimation Computational complexity Conferences Convergence Detection, estimation, filtering, equalization, prediction Exact sciences and technology Information, signal and communications theory Least squares approximation Multipath channels Multiplexing Numerical analysis OFDM Resonance light scattering Signal and communications theory Signal, noise Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Transmission and modulation (techniques and equipments)
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Zusammenfassung:	The problem of blind adaptive channel estimation in OFDM systems is considered. Focusing on the zero padding approach, for the first time adaptive algorithms are proposed that blindly identify the impulse response of the multipath channel. In particular, we develop RLS and LMS schemes that exhibit rapid convergence combined with low computational complexity. Both versions are obtained by properly modifying the orthogonal iteration, a method used in numerical analysis for the computation of singular vectors. With a number of simulations we demonstrate the satisfactory performance of our adaptive schemes under diverse signaling conditions.
DOI:	10.1109/ICC.2004.1312944