Multichannel-compressive estimation of doubly selective channels in MIMO-OFDM systems: Exploiting and enhancing joint sparsity

We propose a compressive estimator of doubly selective channels within pulse-shaping multicarrier MIMO systems (including MIMOOFDM 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.

• Type: Journal
• Year: 2010
• Where: ICASSP
• Authors: Daniel Eiwen, Georg Tauböck, Franz Hlawatsch, Holger Rauhut, Nicolai Czink
• Keywords: Channel-by-channel Compressive Estimation, ICASSP 2010, Joint Sparsity, Multicarrier Mimo Systems, Signal Processing