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Sequential estimation of time-varying multipath channel for MIMO-OFDM systems
Angelosante, Daniele; Biglieri, Ezio; Lops, Marco
Universitat Pompeu Fabra
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 theiramplitudes 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.
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).
The work of Ezio Biglieri was supported by the SpanishMinistery of Education and Science under Project TEC2006-01428/TCM, and by the STREP project No. IST-026905(MASCOT) within the 6th framework program of the EuropeanCommission.
The work of Ezio Biglieri was supported by the SpanishMinistery of Education and Science under Project TEC2006-01428/TCM, and by the STREP project No. IST-026905(MASCOT) within the 6th framework program of the EuropeanCommission.
02-07-2013
Multiplexatge per divisió de freqüència
Sistemes MIMO
Conjunts, Teoria de
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