PAPR reduction for LDPC coded OFDM systems using binary masks and optimal LLR estimation

Authors:
Hyunseuk Yoo;Frédéric Guilloud;Ramesh Pyndiah
Affiliations:
Department of Signal and Communications, Telecom Bretagne Technopole Brest Iroise, CS 83818, 29238 Brest cedex 3, France;Department of Signal and Communications, Telecom Bretagne Technopole Brest Iroise, CS 83818, 29238 Brest cedex 3, France;Department of Signal and Communications, Telecom Bretagne Technopole Brest Iroise, CS 83818, 29238 Brest cedex 3, France
Venue:
Signal Processing
Year:
2011

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Abstract

A probabilistic PAPR reduction method using binary masks is proposed for OFDM systems. The binary masks are used to generate multiple signal candidates containing the same information. The candidate with the lowest PAPR is selected for transmission. In the presence of a non-linear amplifier (soft limiter), as the number of candidates increases, the PAPR is reduced, resulting in the reduction of clipping distortion power. Taking into account both distortion and channel noise, we derive the analytical total noise power to estimate the log-likelihood ratio (LLR), which is then used to enhance the decoding performance. We derive a minimum achievable E"b/N"0 and a decoding threshold for LDPC codes in the presence of the soft limiter. Simulation results show that our LLR estimation improves the error performance, and multiple candidate system lowers the error rate.