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
fDate :
5/15/2003 12:00:00 AM
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;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20030500
