Sequential estimation of time-varying multipath channel for MIMO-OFDM systems

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Title:	Sequential estimation of time-varying multipath channel for MIMO-OFDM systems
Author:	Angelosante, Daniele; Biglieri, Ezio; Lops, Marco
Other authors:	Universitat Pompeu Fabra
Abstract:	Comunicació presentada al IEEE International Symposium on Information Theory (ISIT '08), celebrat a Toronto (Ontario, Canadà) els dies 6, 7, 8, 9, 10 i 11 de juliol de 2008, organitzat per l'Institute of Electrical and Electronics Engineers (IEEE).
Abstract:	In this paper, we introduce a pilot-aided multipath channel estimator for Multiple-Input Multiple-Output (MIMO) Orthogonal Frequency Division Multiplexing (OFDM) systems. Typical estimation algorithms assume the number of multipath components and delays to be known and constant, while their/namplitudes may vary in time. In this work, we focus on the more realistic assumption that also the number of channel taps is unknown and time-varying. The estimation problem arising from this assumption is solved using Random Set Theory (RST), which is a probability theory of finite sets. Due to the lack of a closed form of the optimal filter, a Rao-Blackwellized Particle Filter (RBPF) implementation of the channel estimator is derived. Simulation results demonstrate the estimator effectiveness.
Abstract:	The work of Ezio Biglieri was supported by the Spanish/nMinistery of Education and Science under Project TEC2006-/n01428/TCM, and by the STREP project No. IST-026905/n(MASCOT) within the 6th framework program of the European/nCommission.
Abstract:	The work of Ezio Biglieri was supported by the Spanish/nMinistery of Education and Science under Project TEC2006-/n01428/TCM, and by the STREP project No. IST-026905/n(MASCOT) within the 6th framework program of the European/nCommission.
Subject(s):	-Multiplexatge per divisió de freqüència -Sistemes MIMO -Conjunts, Teoria de
Rights:	© 2008 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works./nThe final published article can be found at http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4595054
Document type:	Conference Object Article - Published version
Published by:	Institute of Electrical and Electronics Engineers (IEEE)
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