TY - GEN
T1 - Receiver-based Bayesian PAPR reduction in OFDM
AU - Al-Rabah, Abdullatif
AU - Masood, Mudassir
AU - Ali, Anum
AU - Al-Naffouri, Tareq Y.
N1 - KAUST Repository Item: Exported on 2020-04-23
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
KW - OFDM
KW - PAPR reduction
KW - SABMP
KW - Sparse signal estimation
KW - tone reservation
UR - http://www.scopus.com/inward/record.url?scp=84901299353&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84901299353
SN - 9780992862602
T3 - European Signal Processing Conference
BT - 2013 Proceedings of the 21st European Signal Processing Conference, EUSIPCO 2013
PB - European Signal Processing Conference, EUSIPCO
T2 - 2013 21st European Signal Processing Conference, EUSIPCO 2013
Y2 - 9 September 2013 through 13 September 2013
ER -