DocumentCode
1546477
Title
An Efficient Nonlinear Companding Transform for Reducing PAPR of OFDM Signals
Author
Wang, Y. ; Wang, L.-H. ; Ge, J.-H. ; Ai, B.
Author_Institution
State Key Lab. of Integrated Services Networks, Xidian Univ., Xi´´an, China
Volume
58
Issue
4
fYear
2012
Firstpage
677
Lastpage
684
Abstract
In this paper, an efficient nonlinear companding scheme is proposed to reduce the peak-to-average power ratio (PAPR) of orthogonal frequency division multiplexing (OFDM) signals. By transforming the statistics of original signals into a specified distribution form along with remaining an unchanged average output power level, this scheme can achieve significant reduction in PAPR as well as an improved BER performance simultaneously. Moreover, by properly adjusting the transform parameters, more design flexibility in companding form can also be given by this scheme to satisfy various system requirements. The theoretical analysis results regarding the transform gain, companding distortion and the selection criteria of parameters are derived. It is proved that this scheme may lead to less signal distortion compared to existing companding schemes. Simulation results demonstrate that the proposed scheme can substantially offer better overall performance of OFDM system in terms of PAPR reduction, BER performance and bandwidth efficiency.
Keywords
OFDM modulation; compandors; error statistics; transforms; OFDM signals; PAPR reduction; bandwidth efficiency; bit error rate; companding distortion; nonlinear companding transform; orthogonal frequency division multiplexing; peak-to-average power ratio; selection criteria; signal distortion; transform gain; Bit error rate; Noise measurement; Nonlinear distortion; Peak to average power ratio; Phase shift keying; Transforms; Nonlinear companding transform; orthogonal frequency division multiplexing (OFDM); peak-to-average power ratio (PAPR);
fLanguage
English
Journal_Title
Broadcasting, IEEE Transactions on
Publisher
ieee
ISSN
0018-9316
Type
jour
DOI
10.1109/TBC.2012.2198976
Filename
6222351
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