Citation: | LIU Yi, MEI Wen-bo, DU Hui-qian, WANG Hong-yu. Sparse channel estimation for MIMO-OFDM systems using distributed compressed sensing[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2016, 25(4): 540-546.doi:10.15918/j.jbit1004-0579.201625.0413 |
[1] |
Ozdemir M K, Arslan H. Channel estimation for wireless OFDM systems [J]. IEEE Communications Surveys and Tutorials, 2007, 9(2): 18-48.
|
[2] |
Ye L, Winters J H, Sollenberger N R. MIMO-OFDM for wireless communications: signal detection with enhanced channel estimation [J]. IEEE Transactions on Communications, 2002, 50(9): 1471-1477.
|
[3] |
Donoho D L. Compressed sensing [J]. IEEE Transactions on Information Theory, 2006, 52(4): 1289-1306.
|
[4] |
Candès E J, Wakin M B. An introduction to compressive sampling [J]. IEEE Signal Processing Magazine, 2008, 25(2): 21-30.
|
[5] |
Bajwa W U, Haupt J, Sayeed A M, et al. Compressed channel sensing: a new approach to estimating sparse multipath channels [J]. Proceedings of the IEEE, 2010, 98(6): 1058-1076.
|
[6] |
Tauböck G, Hlawatsch F, Eiwen D, et al. Compressive estimation of doubly selective channels in multicarrier systems: leakage effects and sparsity-enhancing processing [J]. IEEE Selected Topics in Signal Processing, 2010, 4(2): 255-271.
|
[7] |
Bajwa W U, Sayeed A, Nowak R. Compressed sensing of wireless channels in time, frequency, and space[C]//Asilomar Conference on Signals, Systems and Computers, Pacific Grove, USA, 2008.
|
[8] |
Meng J, Yin W, Li Y, et al. Compressive sensing based high-resolution channel estimation for OFDM system [J]. IEEE Journal of Selected Topics in Signal Processing, 2012, 6(1): 15-25.
|
[9] |
Huang J, Zhou S, Huang J, et al. Progressive inter-carrier interference equalization for OFDM transmission over time-varying underwater acoustic channels [J]. IEEE Journal of Selected Topics in Signal Processing, 2011, 5(8): 1524-1536.
|
[10] |
Berger C R, Wang Z, Huang J, et al. Application of compressive sensing to sparse channel estimation [J]. IEEE Communications Magazine, 2010, 48(11): 164-174.
|
[11] |
Duarte M F, Sarvotham Shriram, Baron D. Distributed compressed sensing of jointly sparse signals[C]//Asilomar Conference on Signals, Systems and Computers, Pacific Grove, USA, 2005.
|
[12] |
Duarte M F, Eldar Y C. Structured compressed sensing: from theory to applications [J]. IEEE Transactions on Signal Processing, 2011, 59(9): 4053-4085.
|
[13] |
Eldar Y C, Mishalii M. Robust recovery of signals from a structured union of subspaces [J]. IEEE Transactions on Information Theory, 2009, 55(11): 5302-5316.
|
[14] |
Eldar Y C, Kuppinger P, Bolcskei H. Block-sparse signals: uncertainty relations and efficient recovery [J]. IEEE Transactions on Signal Processing, 2010, 58(6): 3042-3054.
|
[15] |
Donoho D L, Tsaig Y. Fast solution of l1-norm minimization problems when the solution may be sparse [J]. IEEE Transactions on Information Theory, 2008, 54(11): 4789-4812.
|
[16] |
Zhang T. Sparse recovery with orthogonal matching pursuit under RIP [J]. IEEE Transactions on Information Theory, 2011, 57(9): 6215-6221.
|
[17] |
Candès E J, Romberg J, Tao T. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information [J]. IEEE Transactions on Information Theory, 2006, 52(2): 489-509.
|
[18] |
Liu Y, Mei M, Du H. Model-based compressive channel estimation over rapidly time-varying channels in OFDM systems [J]. IEICE Transactions on Communications, 2014, E97-B(8): 1709-1716.
|