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General Information
Editor-in-chief

Prof. Pascal Lorenz
University of Haute Alsace, France
 
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.

IJFCC 2013 Vol.2(4): 325-328 ISSN: 2010-3751
DOI: 10.7763/IJFCC.2013.V2.177

PAPR Reduction Based on DFT Precoding for OFDM Signals

Mohamed A. Aboul-Dahab, Esam A. A. A. Hagras, and Ahmad. A. Elhaseeb

Abstract—The major problem of Orthogonal Frequency Division Multiplexing (OFDM) is its High Peak-to-Average Power Ratio (PAPR). The High PAPR increases the complexity of Analogue to Digital (A/D) and Digital to Analogue (D/A) converters and also reduces the efficiency of Radio Frequency High Power Amplifier (RF HPA). In this paper, we present Discrete Fourier Transform (DFT), Discrete Hartley Transform (DHT) and Zadoff-Chu Transform (ZCT) precoders for both clipping and clipping and filtering to reduce PAPR. The DFT precoder provides better PAPR compared with clipping, clipping and filtering OFDM. In addition to improve the bit error rate (BER) this has also been taken as a performance evaluation parameter. The DFT precoded system is better than ZCT precoder by about 1.2 dB and better than DHT precoder by about 1.5 dB at the same Complementary Cumulative Distribution Function (CCDF) value. The DFT precoder is better than clipping by 1dB and better than clipping and filtering technique by about 6dB for OFDM system at the same parameters. The DFT Precoded system is better than other precoder as well as it improvement in BER performance of the original OFDM by about 1 dB at the same BER.

Index Terms—OFDM, DFT, ZCT, DHT.

The authors are with Arab Academy for Science and Technology and Maritime Transport, Cairo, Egypt (e-mail:mdahab@aast.edu;esamhagras_2006@yahoo.com; dgdfsdf@yahoo.com).

[PDF]

Cite: Mohamed A. Aboul-Dahab, Esam A. A. A. Hagras, and Ahmad. A. Elhaseeb, "PAPR Reduction Based on DFT Precoding for OFDM Signals," International Journal of Future Computer and Communication vol. 2, no. 4 pp. 325-328, 2013.

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