Optimal pilot pattern design for compressed sensing-based sparse channel estimation in OFDM systems

Circuits, Systems, and Signal Processing

Volumn 31, Issue 4, 2012, Pages 1379-1395

  He, Xueyun ^a   Song, Rongfang ^a,b   Zhu, Wei Ping ^a,c  

^a Jiangsu Key Laboratory of Wireless Communications   (China)

^b SOUTHEAST UNIVERSITY   (China)

^c Civil and Environmental Engineering   (Canada)

Author keywords

Channel estimation; Compressed sensing; Mutual coherence; OFDM; Pilot pattern

Indexed keywords

CHANNEL ESTIMATE; COMPRESSIVE SENSING; ESTIMATION PROBLEM; FREQUENCY SELECTIVE CHANNEL; MEAN SQUARED ERROR; MEASUREMENT MATRIX; MUTUAL COHERENCE; OFDM SYSTEMS; ORTHOGONAL FREQUENCY DIVISION MULTIPLEXING SYSTEMS; PERFORMANCE GAIN; PILOT PATTERN;

CHANNEL ESTIMATION; OPTIMIZATION; SIGNAL RECONSTRUCTION; TELECOMMUNICATION SYSTEMS;

ORTHOGONAL FREQUENCY DIVISION MULTIPLEXING;

EID: 84864543357     PISSN: 0278081X     EISSN: 15315878     Source Type: Journal    
DOI: 10.1007/s00034-011-9378-6     Document Type: Article

References (22)

1. W. Bajwa, J. Haupt, A. Sayeed, R. Nowak, Compressed channel sensing: A new approach to estimating sparse multipath channels. Proc. IEEE 98(6), 1058-1076 (2010)
2. R.G. Baranluk, Compressive sensing. IEEE Signal Process. Mag. 24(4), 118-121 (2007)
3. C.R. Berger, S. Zhou, W. Chen, P. Willett, Sparse channel estimation for OFDM: Over-complete dictionaries and super-resolution, in Proc. IEEE Workshop on Signal Processing Advances in Wireless Communications, Perugia, Italy, pp. 196-200 (2009)
4. C.R. Berger, S. Zhou, J.C. Preisig, P. Willett, Sparse channel estimation for multicarrier underwater acoustic communication: from subspace methods to compressed sensing. IEEE Trans. Signal Process. 58(3), 1708-1721 (2010)
5. X. Cai, G.B. Giannakis, Error probability minimization pilots for OFDM with M-PSK modulation over Rayleigh-fading channels. IEEE Trans. Veh. Technol. 53(1), 146-155 (2004)
6. E.J. Candès, T. Tao, Decoding by linear programming. IEEE Trans. Inf. Theory 51(12), 4203-4215 (2005)
7. E.J. Candès, T. Tao, Near-optimal signal recovery from random projections and universal encoding strategies? IEEE Trans. Inf. Theory 52(12), 5406-5425 (2006)
8. E.J. Candès, J. Romberg, T. Tao, Robust uncertainty principle: Exact signal reconstruction from highly incomplete frequency information. IEEE Trans. Inf. Theory 52(2), 489-509 (2006)
9. E.J. Candès, J. Romberg, T. Tao, Stable signal recovery from incomplete and inaccurate measurements. Commun. Pure Appl. Math. 59(8), 1207-1223 (2006)
10. S. Coleri, M. Ergen, A. Puri, A. Bahai, Channel estimation techniques based on pilot arrangement in OFDM systems. IEEE Trans. Broadcast. 48(3), 223-229 (2002)
11. D.L. Donoho, Compressed sensing. IEEE Trans. Inf. Theory 52(4), 1289-1306 (2006)
12. D.L. Donoho, M. Elad, V. Temlyakov, Stable recovery of sparse overcomplete representations in the presence of noise. IEEE Trans. Inf. Theory 52(1), 6-18 (2006)
13. X. He, R. Song, K. Zhou, Study of compressive sensing based sparse channel estimation in OFDM systems. J. Nanjing Univ. Posts Telecommun. Nat. Sci. 30(2), 60-65 (2010)
14. D. Needell, R. Vershynin, Signal recovery from incomplete and inaccurate measurements via regularized orthogonal matching pursuit. IEEE J. Sel. Top. Signal Process. 4(2), 310-316 (2010)
15. J.L. Paredes, G.R. Arce, Z. Wang, Ultra-Wideband compressed sensing: Channel estimation. IEEE J. Sel. Top. Signal Process. 1(3), 383-395 (2007)
16. M.R. Raghavendra, K. Giridhar, Improving channel estimation in OFDM systems for sparse multipath channels. IEEE Signal Process. Lett. 12(1), 52-55 (2005)
17. G. Taubock, F. Hlawatsch, A compressed sensing technique for OFDM channel estimation in mobile environments: Exploiting channel sparsity for reducing pilots, in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP'08), Las Vegas, NV (2008), pp. 2885-2888
18. G. Taubock, F. Hlawatsch, D. Eiwen, H. Raunhut, Compressive estimation of doubly selective channels in multicarrier systems: leakage effects and sparsity-enhancing processing. IEEE J. Sel. Top. Signal Process. 4(2), 255-271 (2010)
19. J.A. Tropp, A.C. Gilbert, Signal recovery from random measurements via orthogonal matching pursuit. IEEE Trans. Inf. Theory 53(12), 4655-4666 (2007)
20. J.A. Tropp, D. Needell, CoSaMP: Iterative signal recovery from incomplete and inaccurate samples. Appl. Comput. Harmon. Anal. 26, 301-321 (2009)
21. C.J. Wu, D.W. Lin, Sparse channel estimation for OFDM transmission based on representative subspace fitting, in Proc. IEEE 61st Veh. Technol. Conf., vol. 1 (2005), pp. 495-499
22. W. Zhang, X. Xia, P.C. Ching, Optimal training and pilot pattern design for OFDM systems in Rayleigh fading. IEEE Trans. Broadcast. 52(4), 505-514 (2006)