Multichannel-compressive estimation of doubly selective channels in MIMO-OFDM systems

Eiwen, Daniel; Taubock, Georg; Hlawatsch, Franz; Rauhut, Holger und Czink, Nicolai (2010): Multichannel-compressive estimation of doubly selective channels in MIMO-OFDM systems. Exploiting and enhancing joint sparsity. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Dallas, TX, USA, 14-19 March 2010. In: 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE. pp. 3082-3085

Abstract

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.

• Item Type: Conference or Workshop Item (Paper)
• Faculties: Mathematics, Computer Science and Statistics > Mathematics > Chair of Mathematics of Information Processing
• Subjects: 500 Science > 510 Mathematics
• Language: English