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 contribution

3 Scopus citations

Abstract

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 publication21st European Signal Processing Conference (EUSIPCO 2013)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
StatePublished - Sep 2013

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