PAPR analysis and reduction in WPDM systems

Aicha, Anis Ben; Tlili, Fethi; Jebara, Sofia Ben

doi:10.1109/isccsp.2004.1296289

Cited by 8 publications

(6 citation statements)

References 10 publications

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“…H(X) = -I P(X = aJlog[;�[ P(X = aJ) (7) H is the entropy, ai are the discrete random variable, X, possible values. This equation reflects the disorder degree that the variable acquires.…”

Section: The Description Of the Used Pd-ewt In The Wireless Systemsmentioning

confidence: 99%

“…However, the peak-to-average power ratio (PAPR) is found as a major deficiency of the OFDM signal, which limits the efficiency of the non-linear devices such as the power amplifiers, mixers, and analog to digital converters. Therefore, the wavelet transform method has been used to tackle the effect of such deficiency as will be discussed in section two [7]. Previously in [8], another proposition of PAPR reduction technique has been addressed based also on wavelet transformation technique.…”

Section: Introductionmentioning

confidence: 99%

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Wavelet transform basis to detect the odd peaks in wireless systems

Damati

Daoud

Hamarsheh

2014

2014 IEEE 11th International Multi-Conference on Systems, Signals &Amp; Devices (SSD14)

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The performance of wireless systems has been studied on the basis of tackling the unwanted peak. A wavelet transform method was used for this purpose. Specifically, this proposition has been applied to combat the large peak-to-average power ratio (PAPR), which is one of the major Orthogonal Frequency Division Multiplexing (OFDM) system's drawbacks Furthermore, Multiple-Input Multiple-Output (MIMO) technology also imposed to enhance the wireless systems performance. To draw the best performance of this work, a MA TLAB simulation has been used and it is divided into three main stages; MIMO-OFDM symbols' reconstruction based on wavelet transform, then a predetermined thresholding formula that is used, and finally, imposing moving filter. This algorithm is called Peaks' detection based Entropy Wavelet Transform;PDEWT.Moreover, a numerical analysis also used to check its validity. Based on our simulation and under some constrains such as the bandwidth occupancy and the complexity structure of the transceivers, a peak detection ratio has been achieved and reaches around 85%. Comparing to our previously published works, the PD-EWT enhances the detection ratio for 25% more peaks.

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“…H(X) = -I P(X = aJlog[;�[ P(X = aJ) (7) H is the entropy, ai are the discrete random variable, X, possible values. This equation reflects the disorder degree that the variable acquires.…”

Section: The Description Of the Used Pd-ewt In The Wireless Systemsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Wavelet transform basis to detect the odd peaks in wireless systems

Damati

Daoud

Hamarsheh

2014

2014 IEEE 11th International Multi-Conference on Systems, Signals &Amp; Devices (SSD14)

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“…Whereas in DWT the decomposition takes place bypassing the signal only through low pass filter. Lot of work has been done by many researchers in reducing peak to average power by using wavelet packet modulation: A.B.Aichaet et al, have used Daubechies family and compared with other wavelet families in Wavelet Packet Division Multiplexing (WPDM) systems [16]. M. Gautier, C. Lereau et et al investigated the, the influence of appropriate choice of pulse shaping characteristics on PAPR reduction in WPM [17].…”

Section: Introductionmentioning

confidence: 99%

Peak-to-average power ratio reduction in wavelet packet modulation Using Binary Phase Sequence.

Kulkarni¹,

Bhalchandra²

2019

IJEECS

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<p class="1">A novel method of Peak–to-Average–Power-Ratio reduction is presented in this paper using WPT for multi carrier modulationand Riemann matrix for phase sequencing in SLM. Wavelet Packet Multicarrier Modulation(WPM) is a betteralternative to the existing multicarrier transmission system,OFDM system which suffers from high PAPR.Further reduction in Peak to Average Power Ratio (PAPR)is achieved by using Wavelet Packet Modulation(WPM) with SLM technique. Classical SLM uses random phases for phase rotations which suffers from the additional load of transmitting SI(side Information) to receiver. So to overcome a novel method is proposed here which uses the principle of varying the phases of the subcarrier data block to be transmitted ,using rows of the normalised Reimann matrix as phase sequence vectors for the Selected Mapping (SLM)Technique. The generated WPM frame with minimum PAPR is selected and transmitted .The proposed system achieves a significant improvement in PAPR reduction over the OFDM-classical SLM and WPM-classical SLM.</p>

show abstract

“…However, the peak-toaverage power ratio (PAPR) is found as a major deficiency of the OFDM signal, which limits the efficiency of the non-linear devices such as the power amplifiers, mixers, and analog to digital converters. Therefore, the wavelet transform method has been used to tackle the effect of such deficiency as will be discussed in section two [7]. Previously in [8], another proposition of PAPR reduction technique has been addressed based also on wavelet transformation technique.…”

Section: Introductionmentioning

confidence: 99%

Enhancing the Odd Peaks Detection in OFDM Systems Using Wavelet Transforms

Damati¹,

Daoud²,

Hamarsheh³

2016

IJCNS

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This work aims to study the effect of unwanted peaks and enhance the performance of wireless systems on the basis of tackling such peaks. A new proposition has been made based on wavelet transform method and its entropy. Signals with large peak-to-average power ratio (PAPR) will be examined such as the ones that are considered as the major Orthogonal Frequency Division Multiplexing (OFDM) systems drawbacks. Furthermore, aspatial diversity Multiple-Input Multiple-Out-put (MIMO) technology is used to overcome the complexity addition that could arise in our proposition. To draw the best performance of this work, a MATLAB simulation has been used; it is divided into three main stages, namely, MIMO-OFDM symbols' reconstruction based on wavelet transform, a predetermined thresholding formula, and finally, moving filter. This algorithm is called Peaks' detection based Entropy Wavelet Transform; PD-EWT. Based on the simulation, and under some constrains such as the bandwidth occupancy and the complexity structure of the transceivers, a peak detection ratio has been achieved and reaches around 0.85. Comparing with our previously published works, the PD-EWT enhances detection ratio for 0.25 more peaks.

show abstract

PAPR analysis and reduction in WPDM systems

Cited by 8 publications

References 10 publications

Wavelet transform basis to detect the odd peaks in wireless systems

Wavelet transform basis to detect the odd peaks in wireless systems

Peak-to-average power ratio reduction in wavelet packet modulation Using Binary Phase Sequence.

Enhancing the Odd Peaks Detection in OFDM Systems Using Wavelet Transforms

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