Abstract
Orthogonal Frequency-Division Multiplexing (OFDM) is an attractive transmission technique for high-bit-rate communication systems. However, high Peak to Average Power Ratio (PAPR) of transmitted signals is a major shortcoming for Multi-Carrier Modulation (MCM) system such as the OFDM system. Traditional OFDM implementations use common Fourier filters for data modulation and demodulation via the Inverse Fast Fourier Transform (IFFT) and the FFT operations respectively, in this paper the Fast Discrete Curvelet Transform (FDCT) is proposed for OFDM in order to reduce the PAPR. The software CurveLab, used in this work is available at http://www.curvelet.org. The proposed system used FDCT via both Unequispaced Fast Fourier Transform (USFFT) and Wrapping. In terms of PAPR, the results show that both transforms used in this work gives better PAPR results, FDCT via USFFT and FDCT via Wrapping are given approximately about 7.7 dB reduction compared to traditional OFDM. Moreover, the results show that the BER performance of the considered system nearly matches the theoretical BPSK BER performance in an Additive White Gaussian Noise (AWGN) channel.