DocumentCode
1219139
Title
Distribution of PAR in DMT systems
Author
Yu, Hua ; Chen, Min ; Wei, Gang
Author_Institution
Sch. of Electron. & Inf. Eng., South China Univ. of Technol., Guangzhou, China
Volume
39
Issue
10
fYear
2003
fDate
5/15/2003 12:00:00 AM
Firstpage
799
Lastpage
801
Abstract
Central limit theorem, modern extreme value theory and the theory that the discrete multitone (DMT) signal converges weakly to a Gaussian random process are employed to derive perfect approximations of peak-to-average envelope power ratio (PAR) distributions of discrete-time and continuous-time DMT signals. Analysis and simulation results show that the PAR problem of DMT is more deteriorative than that of complex-valued OFDM signals.
Keywords
convergence; random processes; signal representation; DMT systems; Gaussian random process; PAR distributions; central limit theorem; continuous-time DMT signals; discrete multitone signal; discrete-time DMT signals; modem extreme value theory; peak-to-average envelope power ratio; perfect approximations;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:20030500
Filename
1204793
Link To Document