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Generalized Discrete Fourier Transform Based Minimization of PAPR in OFDM Systems

Authors: Ahmed Mohamed Elshirkasi; Mohammad Umar Siddiqi; Mohamed Hadi Habaebi;

Generalized Discrete Fourier Transform Based Minimization of PAPR in OFDM Systems

Abstract

Orthogonal frequency division multiplexing OFDM is a preferred technique in digital communication systems due to its benefits of achieving high bit rates and its ability to resist multipath effect over fading channels. However, high peak to average power PAPR ratio of the OFDM transmitted signal is a main drawback in OFDM systems. In this paper, the nonlinear phase from the theory of generalized discrete Fourier transform GDFT is used to improve the performance of the partial transmit sequence (PTS) scheme which is one of the techniques used to reduce PAPR. This technique divides the input OFDM block into a number of sub blocks. IFFT is taken for each sub-block, then the output phase is rotated by coefficients to produces minimum PAPR. Simulation results show that modifying the phase of the OFDM before applying the technique reduces the number of the sub blocks for the same amount of PAPR reduction.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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