USRP2 implementation of compressive sensing based channel estimation in OFDM

2013 3rd International Conference on Communications and Information Technology, ICCIT 2013

Volumn , Issue , 2013, Pages 83-87

  Mathews, Tina Jayce ^a   Han, Zhu ^a  

^a UNIVERSITY OF HOUSTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CHANNEL ESTIMATOR; COMPRESSIVE SENSING; MEASUREMENT MATRIX; OPEN SOURCE SOFTWARE; PERFORMANCE STUDY; RANDOM PROJECTIONS; SIGNAL PROCESSING TECHNIQUE; SPECTRAL EFFICIENCIES;

HISTORIC PRESERVATION; INFORMATION TECHNOLOGY; ORTHOGONAL FREQUENCY DIVISION MULTIPLEXING; RADIO COMMUNICATION; REAL TIME SYSTEMS; SIGNAL RECONSTRUCTION; SOFTWARE ENGINEERING;

CHANNEL ESTIMATION;

EID: 84883858572     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCITechnology.2013.6579527     Document Type: Conference Paper

References (15)

1. D. L. Donoho, "Compressive Sensing," IEEE Transactions on Information Theory, vol. 52, no. 4, p.p. 1289-1306, Apr. 2006.
2. L. Tong, B. M. Sadler, and M. Dong, "Pilot Assisted Wireless Transmissions," IEEE Signal Proc. Mag., vol. 21, no. 6, pp. 12-25, Nov. 2004.
3. L. Tong and S. Perreau, "Multichannel Blind Identification: From Subspace to Maximum Likelihood Methods," Proceedings of the IEEE, vol. 86, no. 10, pp. 1951-1968, Oct. 1998.
4. G. Taubock and F. Hlawatsch, "A Compressed Sensing Technique for OFDM Channel Estimation in Mobile Environments: Exploiting Channel Sparsity for Reducing Pilots," IEEE International Conference on Acoustics, Speech and Signal Processing, Las Vegas, NV, 2008.
5. C. R. Berger, S. Zhou, P. Willett, B. Demissie, and J. Heckenbach, "Compressed Sensing for OFDM/MIMO Radar" 42nd Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, 2008.
6. K. Yeo, K. Pelekanakis, and M. Chitre, "Time Domain Equalization for Underwater Acoustic OFDM Systems with Insufficient Cyclic Prefix" OCEANS, Kona, HI, 2011.
7. A. Dowler, A. Nix, and J. McGeehan, "Data-derived Iterative Channel Estimation with Channel Tracking for A Mobile Fourth Generation Wide Area OFDM System," IEEE Global Communications Conference, San Francisco, CA, 2003.
8. C. Komninakis, C. Fragouli, A. Sayed, and R. Wesel, "Multi-input Multi-output Fading Channel Tracking and Equalization using Kalman Estimation," IEEE Transactions on Signal Processing, vol. 50, no. 5, pp. 1065-1076, May. 2002.
9. B. Le Floch, R. Halbert-Lassalle, and D. Castelain, "Digital sound broadcasting to mobile receivers," IEEE Transactions on Consumer Electronics, vol. 35, no. 3, pp. 493-503, Aug. 1989.
10. N. Wang, G. Gui, Z. Zhang, and P. Zhang, "Suboptimal Sparse Channel Estimation for Multicarrier Underwater Acoustic Communications," Intern. J. of the Physical Sciences, vol. 6(25), pp. 5906-5911, Oct. 2011.
11. J. Meng,W. Yin, Y. Li, N. T. Nguyen, and Z. Han, "Compressive Sensing Based High Resolution Channel Estimation for OFDM System," IEEE International Conference on Communications, Tokoyo, Japan, 2011.
12. Y. Zhang, "On Theory of Compressive Sensing via l1 Minimization: Simple Derivations and Extensions," CAAM Tech. Report TR08-11.
13. Y. Zhang, J. Yangz, and W, Yin, "User's Guide for YALL1:Your ALgorithms for L1 Optimization," CAAM Tech. Report TR09-17.
14. M. Ettus, T. W. Rondeau, and R. McGwier, "OFDM Implementation in GNU Radio," Virginia Tech Wireless Symposium, 2007.
15. Z. Cheng and D. Dahlhaus, "Time versus Frequency Domain Channel Estimation for OFDM Systems with Antenna Arrays," 6th International Conference on Signal Processing, Beijing, China, 2002.