A hybrid compressed sensing algorithm for sparse channel estimation in MIMO OFDM systems

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

Volumn , Issue , 2011, Pages 3488-3491

  Qi, Chenhao ^a   Wu, Lenan ^a  

^a SOUTHEAST UNIVERSITY   (China)

Author keywords

channel estimation; compressed sensing; MIMO; OFDM

Indexed keywords

COMPRESSED SENSING; GREEDY ALGORITHMS; LEAST SQUARES; MIMO-OFDM SYSTEMS; MULTIPATH DELAY SPREAD; NORMALIZED MEAN SQUARE ERROR; OFDM SYSTEMS; ORTHOGONAL MATCHING PURSUIT; SAMPLING RATES; SIMULATION RESULT; SPARSE RECOVERY; SPATIAL CHANNEL MODELS;

ALGORITHMS; COMMUNICATION CHANNELS (INFORMATION THEORY); COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; ESTIMATION; SIGNAL RECONSTRUCTION; SPEECH COMMUNICATION; TELECOMMUNICATION SYSTEMS;

ORTHOGONAL FREQUENCY DIVISION MULTIPLEXING;

EID: 80051618391     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2011.5946229     Document Type: Conference Paper

References (13)

1. M. Sharp and A. Scaglione, "Application of Sparse Signal Recovery to Pilot-Assisted Channel Estimation," in Proc. ICASSP, Las Vegas, NV, USA, Mar. 2008, pp. 3469-3472.
2. S. F. Cotter and B. D. Rao, "Sparse Channel Estimation via Matching Pursuit with Application to Equalization," IEEE Trans. Commun., vol. 50, no. 3, pp. 374-377, Mar. 2002.
3. S. G. Mallat and Z. Zhang, "Matching Pursuits With Time-Frequency Dictionaries," IEEE Trans. Sig. Proc., vol. 41, no. 12, pp. 3397-3415, Dec. 1993.
4. J. A. Tropp and A. C. Gilbert, "Signal Recovery From Random Measurements via Orthogonal Matching Pursuit," IEEE Trans. Inf. Theory, vol. 53, no. 12, pp. 4655-4666, Dec. 2007.
5. E. J. Candes, J. Romberg, and T. Tao, "Robust Uncertainty Principles: Exact Signal Reconstruction from Highly Incomplete Frequency Information," IEEE Trans. Inf. Theory, vol. 52, no. 2, pp. 489-509, Feb. 2006.
6. J. Salo, G. Galdo, J. Salmi, P. Kyosti, M. Milojevic, D. Laselva, and C. Schneider, "MATLAB implementation of the 3GPP Spatial Channel Model," 3GPP TR 25.996, Nov. 2005.
7. D. L. Donoho, "Compressed Sensing," IEEE Trans. Inf. Theory, vol. 52, no. 4, pp. 1289-1306, Apr. 2006.
8. R. G. Baraniuk, "Compressive Sensing," IEEE Sig. Proc. Mag., vol. 24, no. 4, pp. 118-121, July 2007.
9. J. A. Tropp, "Just Relax: Convex Programming Methods for Identifying Sparse Signals in Noise," IEEE Trans. Inf. Theory, vol. 52, no. 3, pp. 1030-1051, Mar. 2006.
10. J. A. Tropp and S. J. Wright, "Computational Methods for Sparse Solution of Linear Inverse Problems," Proceedings of the IEEE, vol. 98, no. 6, pp. 948-958, June 2010.
11. W. Dai and O. Milenkovic, "Subspace Pursuit for Compressive Sensing Signal Reconstruction," IEEE Trans. Inf. Theory, vol. 55, no. 5, pp. 2230-2249, Apr. 2009.
12. S. Boyd and L. Vandenberghe, Convex Optimization, Cambridge University Press, Cambridge, U.K., Dec. 2004.
13. S. S. Chen, D. L. Donoho, and M. A Saunders, "Atomic Decomposition by Basis Pursuit," SIAM Rev., vol. 43, no. 1, pp. 129-159, 2001.