Paper Info
Title
SLM and PTS peak-power reduction of OFDM signals without side information
Abstract
Selected mapping (SLM) and partial transmit sequence (PTS) are well-known techniques for peak-power reduction in orthogonal frequency-division multiplexing (OFDM). We derive a simplified maximum likelihood (ML) decoder for SLM and PTS that operates without side information. This decoder exploits the fact that the modulation symbols belong to a given constellation and that the multiple signals generated by the PTS or SLM processes are widely different in a Hamming distance sense. Pairwise error probability (PEP) analysis suggests how SLM and PTS vectors should be chosen. The decoder performs well over additive white Gaussian noise (AWGN) channels, fading channels, and amplifier nonlinearities.
Year
DOI
Venue
2005
10.1109/TWC.2005.853916
IEEE Transactions on Wireless Communications
Keywords
Field
DocType
pairwise error probability,multiple signal,additive white gaussian noise,amplifier nonlinearities,pts peak-power reduction,pts vector,maximum likelihood,slm process,ofdm signal,modulation symbol,side information,fading channel,hamming distance sense,hamming codes,maximum likelihood estimation,signal processing,probability,ofdm modulation,hamming distance,vectors
Hamming code,Pairwise error probability,Fading,Algorithm,Real-time computing,Modulation,Hamming distance,Multiplexing,Statistics,Additive white Gaussian noise,Orthogonal frequency-division multiplexing,Mathematics
Journal
Volume
Issue
ISSN
4
5
1536-1276
Citations 
PageRank 
References 
91
4.63
8
Authors
2
Name
Order
Citations
PageRank
Dhammika Jayalath119720.50
C. Tellambura24889374.02