DocumentCode :
1972442
Title :
A new PAPR reduction scheme for OFDM signals based on GDFT signal processing theory
Author :
Huizhu Li ; Songlin Sun ; Xiaojun Jing
Author_Institution :
Biometrics Recognition & Multimedia Commun. Lab., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear :
2011
fDate :
14-16 Oct. 2011
Firstpage :
81
Lastpage :
84
Abstract :
Peak-to-average-power ratio (PAPR) is a key design concern of an orthogonal frequency division multiplexing (OFDM) system as it determines the system´s power efficiency. In this paper, we propose a PAPR reduction method for an OFDM system based on the Generalized Discrete Fourier Transform (GDFT) signal processing theory proposed by AH N. Akansu. GDFT is a generalized framework for DFT with nonlinear phase by exploiting the phase space. There are infinitely many possible GDFT sets available in the phase space with constant power where one can design the optimal basis for the desired figure of merit. Our proposed GDFT-OFDM combines the advantage of GDFT with the traditional OFDM system, providing a new way to solve the problem of PAPR reduction in OFDM system. In simulation results, the PAPR performance of GDFT-OFDM is proved to be well improved with different form of GDFT.
Keywords :
OFDM modulation; discrete Fourier transforms; signal processing; GDFT signal processing theory; OFDM signal; PAPR reduction scheme; figure of merit; generalized discrete Fourier transform signal processing theory; nonlinear phase space; orthogonal frequency division multiplexing signal; peak-to-average-power ratio reduction scheme; power efficiency system; GDFT; OFDM; PAPR reduction;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Communication Technology and Application (ICCTA 2011), IET International Conference on
Conference_Location :
Beijing
Type :
conf
DOI :
10.1049/cp.2011.0634
Filename :
6192830
Link To Document :
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