Talks and Poster Presentations (with Proceedings-Entry):
G. Tauböck, F. Hlawatsch:
"A COMPRESSED SENSING TECHNIQUE FOR OFDM CHANNEL ESTIMATION IN MOBILE ENVIRONMENTS: EXPLOITING CHANNEL SPARSITY FOR REDUCING PILOTS";
Poster: IEEE Int. Conference on Acoustics, Speech, and Signal Processing (ICASSP),
Las Vegas, NV, USA;
- 04-04-2008; in: "Proceedings of the 2008 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)",
We consider the estimation of doubly selective wireless channels
within pulse-shaping multicarrier systems (which include OFDM
systems as a special case). A new channel estimation technique using
the recent methodology of compressed sensing (CS) is proposed.
CS-based channel estimation exploits a channelīs delay-Doppler
sparsity to reduce the number of pilots and, hence, increase spectral
efficiency. Simulation results demonstrate a significant reduction of
the number of pilots relative to least-squares channel estimation.
OFDM, multicarrier modulation, channel estimation, compressed sensing, sparse reconstruction, basis pursuit
Electronic version of the publication:
Created from the Publication Database of the Vienna University of Technology.