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

Author

Eiwen, Daniel ; Tauböck, Georg ; Hlawatsch, Franz ; Rauhut, Holger ; Czink, Nicolai

Author_Institution

Fac. of Math., Univ. of Vienna, Vienna, Austria

fYear

2010

fDate

14-19 March 2010

Firstpage

3082

Lastpage

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.

Keywords

MIMO communication; OFDM modulation; channel estimation; wireless channels; MIMO channel; MIMO-OFDM systems; channel-by-channel compressive estimation; compressive estimator; doubly selective channels; joint sparsity; multichannel basis optimization; multichannel compressed sensing; multichannel-compressive estimation; pulse-shaping multicarrier MIMO systems; Channel estimation; Compressed sensing; Filters; MIMO; Mathematics; Numerical simulation; Pulse compression methods; Pulse modulation; Radio frequency; Receiving antennas; MIMO-OFDM; channel estimation; joint sparsity; multicarrier modulation; multichannel compressed sensing;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on

Conference_Location

Dallas, TX

ISSN

1520-6149

Print_ISBN

978-1-4244-4295-9

Electronic_ISBN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2010.5496098

Filename

5496098