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P. Banelli, G. Leus and G. B. Giannakis, “Bayesian Estimation of Clipped Gaussian Processes with Applicaiton to OFDM,” Proceedings of the European Signal Processing Conference (EUSIPCO), Toulouse, 3-6 September 2002, pp. 181-184.

has been cited by the following article:

• TITLE: PAPR Distribution Analysis at the Output of Nonlinear PAPR Reducers

  AUTHORS: Désiré Guel, Jacques Palicot

  KEYWORDS: Orthogonal Frequency Division Multiplexing (OFDM); Peak-to-Average Power Ratio (PAPR); Distribution; Nonlinear PAPR Reducers

  JOURNAL NAME: Journal of Signal and Information Processing, Vol.3 No.4, November 29, 2012

  ABSTRACT: Nonlinear PAPR reducers, such as clipping and companding techniques, are some simple methods used to reduce the Peak-to-Average Power Ratio (PAPR). In this paper, assuming that the baseband OFDM signal is characterized as a band-limited complex Gaussian process, we investigate the PAPR distribution of an OFDM signal when it is passed through a nonlinear PAPR reducer. The obtained PAPR distribution depends on the nonlinear function which characterizes the PAPR reducer. Later in this paper, we apply the obtained PAPR distribution in the clipping case. The comparisons made between the proposed distribution and that obtained thanks to computer simulations show good agreement.