Compressed sensing based estimation of doubly selective channels using a sparsity-optimized basis expansion

European Signal Processing Conference

Volumn , Issue , 2008, Pages

  Tauböck, Georg ^a   Hlawatsch, Franz ^a  

^a VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

COMPRESSIVE SENSING; DOUBLY SELECTIVE CHANNEL; ESTIMATION TECHNIQUES; MULTICARRIER COMMUNICATION SYSTEMS; PERFORMANCE GAIN;

COMMUNICATION SYSTEMS; MULTIUSER DETECTION; SIGNAL RECONSTRUCTION;

OPTIMIZATION;

EID: 84863763982     PISSN: 22195491     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. E. G. Larsson, G. Liu, J. Li, and G. B. Giannakis, "Joint symbol timing and channel estimation for OFDM based WLANs," IEEE Comm. Letters, vol. 5, pp. 325-327, Aug. 2001.
2. 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.
3. E. J. Candès, J. Romberg, and T. Tao, "Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information," IEEE Trans. Inf. Theory, vol. 52, pp. 489-509, Feb. 2006.
4. D. L. Donoho, "Compressed sensing," IEEE Trans. Inf. Theory, vol. 52, pp. 1289-1306, April 2006.
5. W. Kozek and A. F. Molisch, "Nonorthogonal pulseshapes for multicarrier communications in doubly dispersive channels," IEEE J. Sel. Areas Comm., vol. 16, pp. 1579-1589, Oct. 1998.
6. G. Matz, D. Schafhuber, K. Gr öchenig, M. Hartmann, and F. Hlawatsch, "Analysis, optimization, and implementation of lowinterference wireless multicarrier systems," IEEE Trans. Wireless Comm., vol. 6, pp. 1921-1931, May 2007.
7. IEEE P802 LAN/MAN Committee, "The working group for wireless local area networks (WLANs)." http://grouper.ieee.org/groups/802/11/index.html.
8. ETSI, "Digital video broadcasting (DVB); framing structure, channel coding and modulation for digital terrestrial television." EN 300 744, V1.4.1, 2001 (http://www.etsi.org).
9. P. A. Bello, "Characterization of randomly time-variant linear channels," IEEE Trans. Comm. Syst., vol. 11, pp. 360-393, 1963.
10. P. Flandrin, Time-Frequency/Time-Scale Analysis. San Diego (CA): Academic Press, 1999.
11. E. J. Candès, J. Romberg, and T. Tao, "Stable signal recovery from incomplete and inaccurate measurements," Comm. Pure Appl. Math., vol. 59, pp. 1207-1223, March 2006.
12. S. Boyd and L. Vandenberghe, Convex Optimization. Cambridge (UK): Cambridge Univ. Press, Dec. 2004.
13. M. Rudelson and R. Vershynin, "Sparse reconstruction by convex relaxation: Fourier and Gaussian measurements," in Proc. 40th Annual Conf. Inform. Sci. Syst., (Princeton, NJ), pp. 207-212, March 2006.
14. G. H. Golub and C. F. Van Loan, Matrix Computations. Baltimore: Johns Hopkins University Press, 2nd ed., 1989.
15. M. Grant and S. Boyd. CVX: Matlab software for disciplined convex programming (web page and software), Stanford University, CA (http://stanford.edu/~boyd/cvx).
16. 1-MAGIC, California Inst. of Technol., Pasadena, CA (http://www.acm.caltech.edu/l1magic/) .