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    Receiver-based recovery of clipped ofdm signals for papr reduction: A bayesian approach

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    Type
    Article
    Authors
    Ali, Anum
    Al-Rabah, Abdullatif R.
    Masood, Mudassir cc
    Al-Naffouri, Tareq Y. cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Date
    2014-10-16
    Preprint Posting Date
    2014-10-08
    Permanent link to this record
    http://hdl.handle.net/10754/563267
    
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    Abstract
    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.2014.2362772
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Access
    DOI
    10.1109/ACCESS.2014.2362772
    arXiv
    1410.2457
    Additional Links
    http://arxiv.org/abs/arXiv:1410.2457v3
    http://arxiv.org/pdf/1410.2457
    ae974a485f413a2113503eed53cd6c53
    10.1109/ACCESS.2014.2362772
    Scopus Count
    Collections
    Articles; Electrical and Computer Engineering Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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