Amplitude PDF analysis of OFDM signal using probabilistic PAPR reduction method

Hyunseuk Yoo (1, 2) , Frédéric Guilloud (3, 1) , Ramesh Pyndiah (3, 1)

1 SC - Département Signal et Communications
2 Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (UMR 3192)
3 Lab-STICC_TB_CACS_COM

To reduce the peak-to-average power ratio (PAPR) of orthogonal frequency division multiplexing (OFDM) modulation scheme, a class of methods is to generate several OFDM symbols (candidates) carrying the same information and to select for transmission the one having the lowest PAPR. We derive a theoretical amplitude probability density function (PDF) of the selected OFDM symbol using order statistics. This amplitude PDF enables one to derive the signal-to-noise-plus-distortion ratio (SNDR) as a function of the number of candidates. Based on the SNDR derivation, theoretical error performance and statistical channel capacity are provided for this class of methods. The results match the simulations and make the system design easier.

Mots clés: PAPR; OFDM; Candidate signal; Deliberate clipping; Signal-to-noise-plus-distortion ratio

Domaines: Electronique

Hyunseuk Yoo, Frédéric Guilloud, Ramesh Pyndiah. Amplitude PDF analysis of OFDM signal using probabilistic PAPR reduction method. EURASIP Journal on Wireless Communications and Networking, 2011, 2011, ⟨10.1155/2011/983915⟩. ⟨hal-00609284⟩