A compressed sensing technique for OFDM channel estimation in mobile environments: Exploiting channel sparsity for reducing pilo

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 channel’s 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.

• Type: Conference
• Year: 2008
• Where: ICASSP
• Authors: Georg Tauboeck, Franz Hlawatsch
• Keywords: Channel Estimation, Channel Estimation Technique, CS-based Channel Estimation, ICASSP 2008, Signal Processing