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PAPR Reduction of OFDM Systems using 2D Inverse Discrete Fourier Transform

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Waleed Khaleel Hassoon, Ali Abdul Kadhum Ruhaima, Mokhalad Khaleel Alghrairi

Waleed Khaleel Hassoon, Ali Abdul Kadhum Ruhaima and Mokhalad Khaleel Alghrairi. PAPR Reduction of OFDM Systems using 2D Inverse Discrete Fourier Transform. International Journal of Computer Applications 168(10):11-17, June 2017. BibTeX

	author = {Waleed Khaleel Hassoon and Ali Abdul Kadhum Ruhaima and Mokhalad Khaleel Alghrairi},
	title = {PAPR Reduction of OFDM Systems using 2D Inverse Discrete Fourier Transform},
	journal = {International Journal of Computer Applications},
	issue_date = {June 2017},
	volume = {168},
	number = {10},
	month = {Jun},
	year = {2017},
	issn = {0975-8887},
	pages = {11-17},
	numpages = {7},
	url = {},
	doi = {10.5120/ijca2017914506},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


A tow-dimensional (2D) orthogonal frequency division multiplexing (OFDM) system with peak-to-average power ratio (PAPR), a multicarrier system, is an important part of wireless communications engineering. Since these signals divide the bandwidth into other sub channels n, so the OFDM signals accomplish top data rates. Although, High peak-to-average power ratio (PAPR) of the transmit signal is a major problem of multicarrier transmission such as orthogonal frequency division multiplexing (OFDM). To make fewer the PAPR values, There are many of techniques have been introduced, including selected mapping and amplitude clipping. The method that produces the least bit-error rate (BER) performance, its method is Amplitude clipping and filtering which is the simplest method. And from the other side, SLM although it presents a computational complexity, it is considered the most suitable and distortion less. In this research, a new technique is proposed based on two-dimensional discrete Fourier transform (2D–DFT). In this paper we present a new method that reduces the computational complexities and distortion less compared to the SLM method. The M-PSK mapping types show from theoretical analysis that the PAPR can be reduced to something like 0.0 dB, as proven mathematically and by computer simulations.


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2D-DFT; CCDF; Orthogonal frequency division multiplexing modulation; PAPR reduction, SLM technique, complexity.