Talks and Poster Presentations (with Proceedings-Entry):

G. Tauböck, M. Hampejs, G. Matz, F. Hlawatsch, K. Gröchenig:
"LSQR-based ICI equalization for multicarrier communications in strongly dispersive and highly mobile environments";
Poster: IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Helsinki, Finnland; 06-17-2007 - 06-20-2007; in: "Proceedings of the 8th IEEE Workshop on Signal Processing Advances in Wireless Communications", (2007), 5 pages.

English abstract:
For OFDM transmission over rapidly varying channels, intercarrier
interference (ICI) constitutes a major source of performance degradation. We propose a low-complexity ICI equalization technique
that uses the iterative LSQR algorithm for regularized inversion of
a triple-band approximation to the frequency-domain channel matrix.
The LSQR algorithm achieves regularization of the (typically
ill-conditioned) channel inversion via early termination of the iteration process, and thus yields good results at low complexity. We also consider pulse shaping as a means of reducing the bandwidth of the matrix approximation. Simulation results demonstrate the excellent performance of the proposed ICI equalizer even for strongly dispersive and rapidly varying channels, as well as the potential of pulse shaping for reducing the "ICI bandwidth."

LSQR, CGNE, OFDM, ICI, equalizer, doubly-selective channel

Electronic version of the publication:

Created from the Publication Database of the Vienna University of Technology.