Talks and Poster Presentations (with Proceedings-Entry):
D. Eiwen, G. Tauböck, F. Hlawatsch, H. Rauhut, N. Czink:
"Multichannel-compressive estimation of doubly selective channels in MIMO-OFDM systems: Exploiting and enhancing joint sparsity";
Talk: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2010),
Dallas (TX), USA;
- 03-19-2010; in: "Proc. IEEE ICASSP-10",
We propose a compressive estimator of doubly selective channels
within pulse-shaping multicarrier MIMO systems (including MIMO-OFDM
as a special case). The use of multichannel compressed sensing
exploits the joint sparsity of the MIMO channel for improved
performance. We also propose a multichannel basis optimization for
enhancing joint sparsity. Simulation results demonstrate significant
advantages over channel-by-channel compressive estimation.
MIMO-OFDM, multicarrier modulation, channel estimation, multichannel compressed sensing, joint sparsity
Electronic version of the publication:
Created from the Publication Database of the Vienna University of Technology.