Optimized pilot placement for sparse channel estimation in OFDM systems

IEEE Signal Processing Letters

Volumn 18, Issue 12, 2011, Pages 749-752

  Qi, Chenhao ^a   Wu, Lenan ^b  

^a SOUTHEAST UNIVERSITY   (China)

^b BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

Channel estimation; compressed sensing; discrete stochastic approximation; pilot placement

Indexed keywords

COMPRESSED SENSING; DISCRETE STOCHASTIC APPROXIMATION; EXHAUSTIVE SEARCH; MEAN SQUARED ERROR; OFDM SYSTEMS; OFFLINE; PERFORMANCE IMPROVEMENTS; PILOT AIDED; PILOT PLACEMENT; WIRELESS CHANNEL MODEL;

APPROXIMATION THEORY; CHANNEL ESTIMATION; COMPUTER SIMULATION; OPTIMIZATION; ORTHOGONAL FREQUENCY DIVISION MULTIPLEXING; SIGNAL RECONSTRUCTION; STOCHASTIC SYSTEMS; TELECOMMUNICATION SYSTEMS;

ESTIMATION;

EID: 81355139279     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/LSP.2011.2170834     Document Type: Article

References (15)

1. D. L. Donoho, "Compressed sensing," IEEE Trans. Inf. Theory, vol. 52, no. 4, pp. 1289-1306, Apr. 2006.
2. W. U. Bajwa, J. Haupt, A. M. Sayeed, and R. Nowak, "Compressed channel sensing: A new approach to estimating sparse multipath channels," Proc. IEEE, vol. 98, no. 6, pp. 1058-1076, Jun. 2010.
3. C. R. Berger, Z. Wang, J. Huang, and S. Zhou, "Application of compressive sensing to sparse channel estimation," IEEE Commun. Mag., vol. 48, no. 11, pp. 164-174, Nov. 2010.
4. S. J. Wright, R. D. Nowak, and M. A. T. Figueiredo, "Sparse reconstruction by separable approximation," IEEE Trans. Signal Process., vol. 57, no. 7, pp. 2479-2493, Jul. 2009.
5. S.-J. Kim, K. Koh, M. Lustig, S. Boyd, and D. Gorinevsky, "An interiorpoint method for large-scale-regularized least squares," IEEE Trans. Signal Process., vol. 1, no. 4, pp. 606-617, Dec. 2007. (Pubitemid 351266626)
6. I. Barhumi, G. Leus, and M. Moonen, "Optimal training design for MIMO OFDM systems in mobile wireless channels," IEEE Trans. Signal Process., vol. 51, no. 6, pp. 1615-1624, Jun. 2003.
7. C. R. Berger, S. Zhou, J. C. Preisig, and P.Willett, "Sparse channel estimation for multicarrier underwater acoustic communication: From subspace methods to compressed sensing," IEEE Trans. Signal Process., vol. 58, no. 3, pp. 1708-1721, Mar. 2010.
8. C. Qi and L. Wu, "A hybrid compressed sensing algorithm for sparse channel estimation in MIMO OFDM systems," in Proc. ICASSP, Prague, Czech Republic, May 2011, pp. 3488-3491.
9. E. J. Candes and M. B. Wakin, "An introduction to compressive sampling," IEEE Signal Process. Mag., vol. 25, no. 2, pp. 21-30, Mar. 2008.
10. V. B. Tadic, "On the almost sure rate of convergence of linear stochastic approximation algorithms," IEEE Trans. Inf. Theory, vol. 50, no. 2, pp. 401-409, Feb. 2004.
11. I. Berenguer, X. Wang, and V. Krishnamurthy, "Adaptive MIMO antenna selection via discrete stochastic optimization," IEEE Trans. Signal Process., vol. 53, no. 11, pp. 4315-4329, Nov. 2005. (Pubitemid 41622562)
12. I. Jang, X. Wang, and V. Krishnamurthy, "Discrete stochastic approximation algorithms for design of optimal sensor fusion rules," Int. J. Sensor Netw., vol. 2, no. 3, pp. 211-217, Sep. 2007.
13. M. R. Raghavendra and K. Giridhar, "Improving channel estimation in OFDM systems for sparse multipath channels," IEEE Signal Process. Lett., vol. 12, no. 1, pp. 52-55, Jan. 2005. (Pubitemid 40085280)
14. C. Qi and L.Wu, "Application of compressed sensing to DRM channel estimation," in Proc. VTC-Spring, Budapest, Hungary, May 2011, pp. 1-5.
15. J. Z. Huang, C. R. Berger, S.Zhou, and J.Huang, "Comparison of basis pursuit algorithms for sparse channel estimation in underwater acoustic OFDM," in Proc. MTS/IEEE OCEANS, Sydney, Australia, May 2010, pp. 1-6.