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Nonlinear Companding Transform for Reduction of Peak-to-Average Power Ratio in OFDM Systems | IEEE Journals & Magazine | IEEE Xplore

Nonlinear Companding Transform for Reduction of Peak-to-Average Power Ratio in OFDM Systems


Abstract:

High peak-to-average power ratio (PAPR) of the transmitted signal is one of the limitations to employing orthogonal frequency division multiplexing (OFDM) system. In this...Show More

Abstract:

High peak-to-average power ratio (PAPR) of the transmitted signal is one of the limitations to employing orthogonal frequency division multiplexing (OFDM) system. In this paper, we propose a new nonlinear companding algorithm that transforms the OFDM signals into the desirable statistics form defined by a linear piecewise function. By introducing the variable slopes and an inflexion point in the target probability density function, more flexibility in the companding form and an effective trade-off between the PAPR and bit error rate performances can be achieved. A theoretical performance study for this algorithm is presented and closed-form expressions regarding the achievable transform gain and signal attenuation factor are provided. We also investigate the selection criteria of transform parameters focusing on its robustness and overall performance aspects. The presented theoretical analyses are well verified via computer simulations.
Published in: IEEE Transactions on Broadcasting ( Volume: 59, Issue: 2, June 2013)
Page(s): 369 - 375
Date of Publication: 01 October 2012

ISSN Information:

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I. Introduction

As a promising technique, orthogonal frequency division multiplexing (OFDM) has been widely applied in modern wireless communications due to its high spectral efficiency and low susceptibility to the multipath propagation [1]. However, a major drawback of OFDM-based transmission systems is its high instantaneous peak-to-average power ratio (PAPR), which leads to undesired in-band distortion and out-of-band radiation if the linear range of the high power amplifier (HPA) is not sufficient [2], [3]. In an OFDM system with subcarriers, the complex baseband representation of OFDM signal is given by $$x(t)={1\over\sqrt{N}}\sum_{k=0}^{N-1}X_{k}\cdot e^{j{2\pi kt\over T}},\quad 0\leq t\leq T,\eqno{\hbox{(1)}}$$where and the vector denotes the frequency-domain OFDM symbols and is the symbol duration. Based on the central limit theorem, when is large, can be approximated as a complex Gaussian process; thus, it is possible that the maximum amplitude of OFDM signal may well exceed its average amplitude. To overcome this issue, various methods have been developed [4], among which, nonlinear companding transform (NCT) is an efficient solution in reducing the PAPR of OFDM signal. The concept of NCT was first introduced in [5], which used the -law companding and could significantly outperform the traditional clipping. Earlier NCT methods have primarily focused on designing the nonlinearity of the transfer curve [6], [7]. Later, the work of [8] first indicated the importance of exploiting the statistical characteristics of the OFDM signal. Up to now, several such NCT methods have been proposed, e.g. the exponential companding (EC) in [9], the uniform companding (UC) in [10], the piecewise companding (PC) in [11], and the trapezium or trapezoidal companding (TC) in [12] and [13], etc.

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References

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