Amplitude PDF Analysis of OFDM Signal Using Probabilistic PAPR Reduction Method

Yoo, Hyunseuk; Guilloud, Frédéric; Pyndiah, Ramesh

doi:10.1155/2011/983915

Cited by 13 publications

(7 citation statements)

References 10 publications

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“…In the case of the SLM-OFDM system, the PDF of the transmitted signal as a function of N and U is derived in [30]. This expression is reproduced for the received signal, in the absence of IN, as in (24) (at the top of the next page).…”

Section: B Proposed Methodsmentioning

confidence: 99%

Preprocessing-Based Impulsive Noise Reduction for Power-Line Communications

Rabie

Alsusa

2014

IEEE Trans. Power Delivery

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Signal blanking is a common technique for mitigating impulsive noise (IN) in power-line communications. When signal samples unaffected by IN are erroneously blanked, part of the useful signal will be lost and performance will degrade. In this paper, we show that the performance of this technique is sensitive not only to the blanking threshold but also to the signal's peakto-average power ratio (PAPR). We thus propose to enhance the capability of the conventional blanking technique by preprocessing the signal at the transmitter. With this in mind, a closed-form analytical expression for the probability of blanking error is then derived and the problem of blanking threshold optimization is addressed. The results reveal that the proposed is able to minimize the probability of blanking error dramatically and can provide up to 3.5dB SNR improvement relative to the conventional technique. Furthermore, it will be shown that if the transmitted signal's PAPR is maintained below a certain threshold then not only a considerable SNR enhancement can be achieved but also it is possible to completely alleviate the need for any prior knowledge about the IN characteristics. Index Terms-Blanking, impulsive noise, peak-to-average power ratio (PAPR), power-line communications (PLC), probability of blanking error, selective mapping (SLM), signal-to-noise ratio (SNR).

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Section: B Proposed Methodsmentioning

confidence: 99%

Preprocessing-Based Impulsive Noise Reduction for Power-Line Communications

Rabie

Alsusa

2014

IEEE Trans. Power Delivery

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“…When the PAPR of input signal is reduced before power amplification, the use of other distributions, e.g., [20], may result in more accu- (12) is the generalized Laguerre polynomial [21], which can be expressed in a polynomial form for a non-negative integer m as…”

Section: Correlation Coefficient Of Output Signalsmentioning

confidence: 99%

Characterization of power spectral density for nonlinearly amplified OFDM signals based on cross-correlation coefficient

Lee

Ochiai

2014

J Wireless Com Network

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Orthogonal frequency division multiplexing (OFDM) has been adopted in many modern communication systems due to its robustness against frequency-selective fading channels as well as its near-rectangular spectrum that can achieve high spectral efficiency. However, its major drawback is the resulting signal with high peak-to-average power ratio (PAPR), which causes severe nonlinear distortion at the power amplifier (PA) unless input backoff is chosen sufficiently large. The effect of the nonlinear distortion is two-fold: out-of-band radiation and signal quality degradation. The former causes adjacent channel interference and thus degrades the bandwidth efficiency. The latter affects the system level performance and is often measured by the error vector magnitude (EVM). It is thus important for the system designer to analyze the nonlinear distortion caused by a given PA in terms of power spectral density (PSD) and EVM, but accurate calculation of these characteristics may be generally involved. In this work, by establishing the link between the cross-correlation coefficient of the input and output signals from PA and the resulting PSD, we characterize the in-band and out-of-band distortion of nonlinearly amplified OFDM signals based exclusively on the cross-correlation coefficient. The accuracy of the proposed approach is confirmed by both simulation and measurement using a real PA.

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“…In the case of the SLM-OFDM system, the PDF of the transmitted signal as a function of N and U is derived in [8] and reproduced for convenience in (15). The conditional CDF of the SLM-OFDM system in the absence of IN is…”

Section: The Probability Of In Detection Error Analysismentioning

confidence: 99%

Improving blanking/clipping based impulsive noise mitigation over powerline channels

Rabie

Alsusa

2013

2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

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Powerline communication technology is a promising communication platform for smart grid and has nowadays become an attractive alternative for data transmission in the home. Iimpulsive noise (IN) over such channels, however, remains the main factor responsible for degrading communication signals. Many techniques for mitigating IN have been reported in the literature the most common of which is preceding the OFDM receiver with blanking, clipping or hybrid (combined blanking-clipping) nonlinear preprocessors. In this paper, we propose to enhance the capability of these techniques by preprocessing the signal at the transmitter. A closedform analytical expression for the probability of IN detection error is derived and the problem of blanking/clipping threshold selection is also considered. The results reveal that the proposed is able to minimize the probability of IN detection error significantly and can provide up to 3dB SNR improvement relative to the conventional techniques. Index Terms-Blanking, clipping, impulsive noise, peak to average power ratio (PAPR), powerline communications (PLC), smart grid.

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Amplitude PDF Analysis of OFDM Signal Using Probabilistic PAPR Reduction Method

Cited by 13 publications

References 10 publications

Preprocessing-Based Impulsive Noise Reduction for Power-Line Communications

Preprocessing-Based Impulsive Noise Reduction for Power-Line Communications

Characterization of power spectral density for nonlinearly amplified OFDM signals based on cross-correlation coefficient

Improving blanking/clipping based impulsive noise mitigation over powerline channels

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