Receiver-based recovery of clipped ofdm signals for papr reduction: A bayesian approach
Type
ArticleKAUST Department
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) DivisionElectrical Engineering Program
Date
2014-10-16Preprint Posting Date
2014-10-08Permanent link to this record
http://hdl.handle.net/10754/563267
Metadata
Show full item recordAbstract
Clipping is one of the simplest peak-to-average power ratio reduction schemes for orthogonal frequency division multiplexing (OFDM). Deliberately clipping the transmission signal degrades system performance, and clipping mitigation is required at the receiver for information restoration. In this paper, we acknowledge the sparse nature of the clipping signal and propose a low-complexity Bayesian clipping estimation scheme. The proposed scheme utilizes a priori information about the sparsity rate and noise variance for enhanced recovery. At the same time, the proposed scheme is robust against inaccurate estimates of the clipping signal statistics. The undistorted phase property of the clipped signal, as well as the clipping likelihood, is utilized for enhanced reconstruction. Furthermore, motivated by the nature of modern OFDM-based communication systems, we extend our clipping reconstruction approach to multiple antenna receivers and multi-user OFDM.We also address the problem of channel estimation from pilots contaminated by the clipping distortion. Numerical findings are presented that depict favorable results for the proposed scheme compared to the established sparse reconstruction schemes.Citation
Ali, A., Al-Rabah, A., Masood, M., & Al-Naffouri, T. Y. (2014). Receiver-Based Recovery of Clipped OFDM Signals for PAPR Reduction: A Bayesian Approach. IEEE Access, 2, 1213–1224. doi:10.1109/access.2014.2362772Journal
IEEE AccessarXiv
1410.2457Additional Links
http://arxiv.org/abs/arXiv:1410.2457v3http://arxiv.org/pdf/1410.2457
ae974a485f413a2113503eed53cd6c53
10.1109/ACCESS.2014.2362772