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

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2010, Pages 3082-3085

  Eiwen, Daniel ^a   Tauböck, Georg ^b   Hlawatsch, Franz ^b   Rauhut, Holger ^c   Czink, Nicolai ^d  

^a UNIVERSITY OF VIENNA   (Austria)

^b VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

^c UNIVERSITY OF BONN   (Germany)

^d TELECOMMUNICATIONS RESEARCH CENTER VIENNA FTW   (Austria)

Author keywords

Channel estimation; Joint sparsity; MIMO OFDM; Multicarrier modulation; Multichannel compressed sensing

Indexed keywords

COMPRESSED SENSING; GAIN CONTROL; MIMO SYSTEMS; MULTICARRIER MODULATION; ORTHOGONAL FREQUENCY DIVISION MULTIPLEXING; PULSE SHAPING;

COMPRESSED-SENSING; DOUBLY SELECTIVE CHANNEL; JOINT SPARSITY; MIMO CHANNEL; MIMO-OFDM SYSTEMS; MIMO/OFDM; MULTI CHANNEL; MULTICARRIER MIMO; MULTICHANNEL COMPRESSED SENSING; PULSE-SHAPING;

CHANNEL ESTIMATION;

EID: 78049411584     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2010.5496098     Document Type: Conference Paper

References (16)

1. J. A. Tropp, A. C. Gilbert, and M. J. Strauss, "Algorithms for simultaneous sparse approximation. Part I: Greedy pursuit," Signal Processing, vol. 86, pp. 572-588, March 2006.
2. D. Baron, M. B. Wakin, M. F. Duarte, S. Sarvotham, and R. G. Baraniuk, "Distributed compressed sensing," preprint, 2005.
3. G. Matz, "Characterization and analysis of doubly dispersive MIMO channels," in Proc. 40th Asilomar Conf. Sig., Syst., Comp., Pacific Grove, CA, pp. 946-950, Oct. 2006.
4. M. Jiang and L. Hanzo, "Multiuser MIMO-OFDM for next-generation wireless systems," Proc. IEEE, vol. 95, pp. 1430-1469, July 2007.
5. G. Tauböck and F. Hlawatsch, "A compressed sensing technique for OFDM channel estimation in mobile environments: Exploiting channel sparsity for reducing pilots," in Proc. IEEE ICASSP-2008, Las Vegas, NV, pp. 2885-2888, March/Apr. 2008.
6. G. Tauböck and F. Hlawatsch, "Compressed sensing based estimation of doubly selective channels using a sparsity-optimized basis expansion," in Proc. EUSIPCO 2008, Lausanne, Switzerland, Aug. 2008.
7. W. U. Bajwa, A. M. Sayeed, and R. Nowak, "Learning sparse doubly-selective channels," in Proc. 46th Annu. Allerton Conf. Commun., Contr., Comput., Monticello, IL, pp. 575-582, Sept. 2008.
8. W. U. Bajwa, A. M. Sayeed, and R. Nowak, "Compressed sensing of wireless channels in time, frequency, and space," in Proc. 42nd Asilomar Conf. Sig., Syst., Comput., Pacific Grove, CA, pp. 2048-2052, Oct. 2008.
9. G. Tauböck, F. Hlawatsch, D. Eiwen, and H. Rauhut, "Compressive estimation of doubly selective channels in multicarrier systems: Leakage effects and sparsity-enhancing processing." to appear in IEEE J. Sel. Topics Signal Process., 2010.
10. V. Raghavan, G. Hariharan, and A. M. Sayeed, "Capacity of sparse multipath channels in the ultra-wideband regime," IEEE J. Sel. Topics Signal Process., vol. 1, pp. 357-371, Oct. 2007.
11. Y. C. Eldar and H. Rauhut, "Average case analysis of multichannel sparse recovery using convex relaxation," IEEE Trans. Inf. Theory, vol. 56, pp. 505-519, Jan. 2010.
12. G. Matz, D. Schafhuber, K. Gröchenig, M. Hartmann, and F. Hlawatsch, "Analysis, optimization, and implementation of low-interference wireless multicarrier systems," IEEE Trans. Wireless Comm., vol. 6, pp. 1921-1931, May 2007.
13. M. Rudelson and R. Vershynin, "Sparse reconstruction by convex relaxation: Fourier and Gaussian measurements," in Proc. 40th Annu. Conf. Inform. Sci. Syst. (CISS'06), Princeton, NJ, pp. 207-212, March 2006.
14. J. A. Tropp, "Greed is good: Algorithmic results for sparse approximation," IEEE Trans. Inf. Theory, vol. 50, pp. 2231-2242, Oct. 2004.
15. http://tu-ilmenau.de/ilmprop.
16. Z. Ben-Haim, Y. C. Eldar, and M. Elad, "Coherence-based performance guarantees for estimating a sparse vector under random noise." submitted to IEEE Trans. Sig. Process., 2009.