Translator Disclaimer
5 August 2015 PAPR reduction in optical OFDM systems using asymmetrically clipping and signal scrambling technique
Author Affiliations +
Optical orthogonal frequency division multiplexing (OOFDM) is a promising technology in the next generation of high-speed and long-haul optical transmission, due to its high spectral efficiency, high speed of data transmission and strong ability of anti-dispersion. But optical OFDM system has a very high peak-to-average power ratio (PAPR). High PAPR will bring instantaneous high optical power to the optical OFDM system. Asymmetrically clipping and signal scrambling based on fast Hartley transform for PAPR reduction is proposed in optical OFDM system. Firstly, IFFT/FFT module in each sub-block of traditional signal scrambling technique is replaced with inverse fast Hartley transform (IFHT) and fast Hartley transform (FHT) module, which yield to the real signal in OOFDM system. Then, asymmetrically clipping technique is applied to turn it into a positive and real signal. Finally, the signal with the minimum PAPR is selected for transmission in the fiber channel. The PAPR of the optical OFDM signal can be reduced effectively. And without the Hermitian symmetry, the space and computational complexity are reduced accordingly.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lin Chen, Yong Fang, Qinghua Huang, and Yanzan Sun "PAPR reduction in optical OFDM systems using asymmetrically clipping and signal scrambling technique", Proc. SPIE 9619, 2015 International Conference on Optical Instruments and Technology: Optoelectronic Devices and Optical Signal Processing, 96190S (5 August 2015);


Adaptive Volterra equalizer for optical OFDM modem
Proceedings of SPIE (January 06 2015)
Beams with inhomogenous polarization state
Proceedings of SPIE (January 11 2007)
Systematic approach to peak-to-average power ratio in OFDM
Proceedings of SPIE (November 20 2001)
Visible light communications using blind equalization
Proceedings of SPIE (December 14 2011)

Back to Top