In orthogonal frequency division multiplexing (OFDM) systems using pilots, channel estimation is performed on pilots and then interpolated over the time and the frequency axis. As time-interpolated estimates have a different mean square error than pilot estimates we propose the use of multiple adaptive filters for exploiting the frequency correlation of the channel. Each filter operates on a different configuration of pilot and time-interpolated estimates and is adapted independently from the other filters. As a simpler suboptimal solution we consider also the use of a single filter, whose adaptation however takes into account the reliability of the various estimates. Performance results are reported with reference to the DVB-T and DVB-T2 standards showing that the proposed technique performs similar or better than existing approaches at a much lower complexity.

Multiple adaptive frequency filtering for OFDM channel estimation

TOMASIN, STEFANO;
2009

Abstract

In orthogonal frequency division multiplexing (OFDM) systems using pilots, channel estimation is performed on pilots and then interpolated over the time and the frequency axis. As time-interpolated estimates have a different mean square error than pilot estimates we propose the use of multiple adaptive filters for exploiting the frequency correlation of the channel. Each filter operates on a different configuration of pilot and time-interpolated estimates and is adapted independently from the other filters. As a simpler suboptimal solution we consider also the use of a single filter, whose adaptation however takes into account the reliability of the various estimates. Performance results are reported with reference to the DVB-T and DVB-T2 standards showing that the proposed technique performs similar or better than existing approaches at a much lower complexity.
2009
Proc. IEEE Int. Workshop Signal Proc. Advances in Wireless Commun. (SPAWC)
9781424436958
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/2374135
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