Distribution of PAR in DMT systems

Authors:

15 May 2003

journal article
Published by Institution of Engineering and Technology (IET) in Electronics Letters

Vol. 39 (10) , 799-801
DOI:10.1049/el:20030500

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

MODEM EXTREME VALUE THEORY
PAR DISTRIBUTIONS
DMT SYSTEMS
PEAK-TO-AVERAGE ENVELOPE POWER RATIO
CONTINUOUS-TIME DMT SIGNALS
DISCRETE MULTITONE SIGNAL
DISCRETE-TIME DMT SIGNALS
GAUSSIAN RANDOM PROCESS
CENTRAL LIMIT THEOREM
PERFECT APPROXIMATIONS

This publication has 1 reference indexed in Scilit:

A modern extreme value theory approach to calculating the distribution of the peak-to-average power ratio in OFDM systems
2003