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

Angelosante, Daniele; Biglieri, Ezio; Lops, Marco

doi:http://dx.doi.org/10.1109/ISIT.2008.4595054

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

Citation

Angelosante D, Biglieri E, Lops M. Sequential estimation of time-varying multipath channel for MIMO-OFDM systems. In: Proceedings of the 2008 IEEE International Symposium on Information Theory (ISIT '08); 2008 Jul 6-11; Toronto, Ontario, Canada. [New York]: IEEE; c2008. p.589-593. DOI 10.1109/ISIT.2008.4595054

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.

Description

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).