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ICASSP
2008
IEEE

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

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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.
Georg Tauboeck, Franz Hlawatsch
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICASSP
Authors Georg Tauboeck, Franz Hlawatsch
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