Receiver-based Bayesian PAPR reduction in OFDM

European Signal Processing Conference

Volumn , Issue , 2013, Pages

  Al Rabah, Abdullatif ^a   Masood, Mudassir ^a   Ali, Anum ^b   Al Naffouri, Tareq Y ^a,b  

^a KING ABDULLAH UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Saudi Arabia)

^b KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS   (Saudi Arabia)

Author keywords

OFDM; PAPR reduction; SABMP; Sparse signal estimation; tone reservation

Indexed keywords

ENERGY EFFICIENCY; ORTHOGONAL FREQUENCY DIVISION MULTIPLEXING; TELECOMMUNICATION SYSTEMS;

PAPR REDUCTION; PEAK-TO-AVERAGE POWER RATIOS; PRIOR INFORMATION; RECOVERY ALGORITHMS; SABMP; SIGNAL STATISTICS; SPARSE SIGNAL ESTIMATIONS; TONE RESERVATION;

SIGNAL PROCESSING;

EID: 84901299353     PISSN: 22195491     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. P. S. Diniz, W. A. Martins, and M. V. Lima, "Block Transceivers: OFDM and Beyond," Synthesis Lectures on Communications, vol. 5, no. 1, pp. 1-206, 2012.
2. D.-W. Lim, S.-J. Heo, and J.-S. No, "An overview of peakto-average power ratio reduction schemes for OFDM signals," Communications and Networks, Journal of, vol. 11, no. 3, pp. 229-239, 2009.
3. S. H. Han and J. H. Lee, "An overview of peak-to-average power ratio reduction techniques for multicarrier transmission," IEEEWireless Commun., vol. 12, no. 2, pp. 56-65, 2005.
4. L. Wang and C. Tellambura, "An Overview of peak-to-average power ratio reduction techniques for OFDM systems," in Sig-nal Processing and Information Technology, 2006 IEEE Inter-national Symposium on. IEEE, 2006, pp. 840-845.
5. T. Jiang and Y. Wu, "An Overview: Peak-to-Average Power Ratio Reduction Techniques for OFDM Signals," IEEE Trans. Broadcast., vol. 54, no. 2, pp. 257-268, June 2008.
6. E. B. Al-Safadi and T. Y. Al-Naffouri, "Peak reduction and clipping mitigation in OFDMby augmented compressive sensing," IEEE Trans. Signal Process, vol. 60, no. 7, pp. 3834-3839, 2012.
7. M. Mohammadnia-Avval, A. Ghassemi, and L. Lampe, "Compressive sensing recovery of nonlinearly distorted OFDM signals," in Communications (ICC), 2011 IEEE International Conference on. IEEE, 2011, pp. 1-5.
8. R. F. Fischer and F. Waeckerle, "Peak-to-Average Power Ratio Reduction in OFDM via Sparse Signals: Transmitter-Side Tone Reservation vs. Receiver-Side Compressed Sensing," in OFDM 2012, 17th International OFDM Workshop 2012 (In-OWo'12); Proceedings of, 2012, pp. 1-8.
9. E. Candes and J. Romberg, "Sparsity and incoherence in compressive sampling," Inverse problems, vol. 23, no. 3, p. 969, 2007.
10. E. J. Candès, 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, 2006.
11. P. Schniter, L. C. Potter, and J. Ziniel, "Fast Bayesian matching pursuit," in Information Theory and Applications Workshop, 2008. IEEE, 2008, pp. 326-333.
12. M. Masood and T. Y. Al-Naffouri, "A Fast Non-Gaussian Bayesian Matching Pursuit Method for Sparse Reconstruction," IEEE Trans. Signal Process, to appear.
13. E. J. Candès, "Compressive sampling," in Proceedings oh the International Congress of Mathematicians: Madrid, August 22-30, 2006: invited lectures, 2006, pp. 1433-1452.
14. E. J. Candes and T. Tao, "Near-optimal signal recovery from random projections: Universal encoding strategies?" IEEE Trans. Inf. Theory, vol. 52, no. 12, pp. 5406-5425, 2006.
15. M. Grant, S. Boyd, and Y. Ye, "CVX: Matlab software for disciplined convex programming," 2008.