Talks and Poster Presentations (with Proceedings-Entry):
G. Tauböck, F. Hlawatsch:
"Compressed Sensing Based Estimation Of Doubly Selective Channels Using A Sparsity-Optimized Basis Expansion";
Talk: EUSIPCO European Signal Processing Conference,
- 08-29-2008; in: "Proceedings of the 16th European Signal Processing Conference 2008 (EUSIPCO 2008)",
We propose a technique for estimating doubly selective channels
within multicarrier communication systems. The new channel estimation
technique uses the methodology of compressed sensing for a
reduction of the number of pilots, and it employs a basis expansion
that is optimized with a criterion of maximum sparsity. Simulation
results demonstrate that the optimized basis yields significant performance gains relative to a previously proposed technique.
OFDM, multicarrier modulation, channel estimation, compressed sensing, sparse reconstruction, basis pursuit, dictionary learning
Electronic version of the publication:
Created from the Publication Database of the Vienna University of Technology.