Receiver-based Bayesian PAPR reduction in OFDM

Abdullatif Al-Rabah, Mudassir Masood, Anum Ali, Tareq Y. Al-Naffouri

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations


One of the main drawbacks of OFDM systems is the high peak-to-average-power ratio (PAPR). Most of the PAPR reduction techniques require transmitter-based processing. However, we propose a receiver-based low-complexity clipping signal recovery method. This method is able to i) reduce PAPR via a simple clipping scheme, ii) use a Bayesian recovery algorithm to reconstruct the distortion signal with high accuracy, and iii) is energy efficient due to low complexity. The proposed method is robust against variation in noise and signal statistics. The method is enhanced by making use of all prior information such as, the locations and the phase of the non-zero elements of the clipping signal. Simulation results demonstrate the superiority of using the proposed algorithm over other recovery algorithms.

Original languageEnglish (US)
Title of host publication2013 Proceedings of the 21st European Signal Processing Conference, EUSIPCO 2013
PublisherEuropean Signal Processing Conference, EUSIPCO
ISBN (Print)9780992862602
StatePublished - 2013
Event2013 21st European Signal Processing Conference, EUSIPCO 2013 - Marrakech, Morocco
Duration: Sep 9 2013Sep 13 2013

Publication series

NameEuropean Signal Processing Conference
ISSN (Print)2219-5491


Other2013 21st European Signal Processing Conference, EUSIPCO 2013


  • OFDM
  • PAPR reduction
  • Sparse signal estimation
  • tone reservation

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering


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