Paper Info
Title
PAPR reduction for LDPC coded OFDM systems using binary masks and optimal LLR estimation
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.
Year
DOI
Venue
2011
10.1016/j.sigpro.2011.05.016
Signal Processing
Keywords
Field
DocType
decoding performance,llr estimation,analytical total noise power,soft limiter,papr reduction,ofdm system,lowest papr,candidates increase,channel noise,multiple candidates,probabilistic papr reduction method,decoding threshold,optimal llr estimation,ofdm,binary mask,error rate,ldpc code,log likelihood ratio
Noise power,Low-density parity-check code,Word error rate,Limiter,Electronic engineering,Decoding methods,Distortion,Mathematics,Orthogonal frequency-division multiplexing,Binary number
Journal
Volume
Issue
ISSN
91
11
Signal Processing
Citations 
PageRank 
References 
2
0.40
16
Authors
3
Name
Order
Citations
PageRank
Hyunseuk Yoo1213.01
Frédéric Guilloud2348.66
Ramesh Pyndiah37917.12