Combined discrete Fourier transform precoding and clipping using direct detection optical OFDM

Wang, Zhongpeng; Chen, Shoufa

doi:10.1016/j.optcom.2015.03.005

Cited by 7 publications

(5 citation statements)

References 19 publications

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“…The recognition rate against the SNR at Gaussian noise degradation of the OFDMA signal is depicted in Fig. (11). From this Figure, the MUSIC method achieves the highest recognition rate compared to both parametric and non-parametric methods at the same SNR.…”

Section: Ofdma Signal Recovery After Hpamentioning

confidence: 94%

“…It was noted that Yule-Walker and MUSIC have a higher recognition rate of 100%. The results in Figures (11)(12)(13)(14)(15)(16)(17)(18) show that the recognition rate decreases with increasing of noise variance. Moreover, the above results illustrate that the features extracted from Yule-Walker parametric method achieve a higher recognition rate compared to other methods.…”

Section: Ofdma Signal Recovery After Hpamentioning

confidence: 94%

“…The PAPR is the maximum peak to the average power of the sent OFDMA signals. [11]. It has a great effect on the RF amplifier efficiency [18].Therefore, the OFDMA transmitters require expensive linear amplifiers with a wide dynamic range [40].Moreover, the high PAPR requires HPA of a wide dynamic range at the transmitter [41].…”

Section: High Peak Average Power Reduction Algorithmsmentioning

confidence: 99%

“…Moreover, the way of the sub-carrier phases can be aligned in the frequency domain. The transmitted signal PAPR was reported in previous works [10,11,40,42]. The reduction techniques of PAPR are concerned with reducing the maximum values of the OFDMA signal power.…”

Section: High Peak Average Power Reduction Algorithmsmentioning

confidence: 99%

“…One advantage of OFDMA is that it turns a frequency selective channel into a flat fading channel for each subcarrier. In other words, OFDMA is a promising technology for eliminating the frequency selectivity of the wireless communication channels [11][12][13]. The number of people using multimedia communication systems has greatly increased.…”

Section: Introductionmentioning

confidence: 99%

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Development of Signal Recovery Algorithm for Overcoming PAPR in OFDMA Communication System

Emarah

Tokhy

Kasban

2021

Arab Journal of Nuclear Sciences and Applications

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This paper focuses on overcoming the high Peak to Average Power Ratio challenging within Orthogonal Frequency Division Multiplexing Asynchronous (OFDMA) communication system. This signal is modulated using differential phase-shift keying and quadrature amplitude modulation techniques. It is degraded under different noise attacks. Signal recovery algorithms are supposed for overcoming the high peak power problem. This issue is resolved through the detection of maximum peaks within threshold peak values of the power amplifier output signal. Additionally, these peaks are identified depending on the extracted power density and order statistics features. This system is trained using an artificial neural network under different channel impairments. Besides, the error rate of this network is computed in presence of different channel fadings. Rayleigh fading imposes the best performance for the transmitted OFDMA signal. Moreover, recognition of 100% is attained using the high order statistics compared to the power density features in presence of noise attacks.

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Section: Ofdma Signal Recovery After Hpamentioning

confidence: 94%