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Abstract
This paper proposes and experimentally demonstrates a blind modulation format identification (MFI) method delivering high accuracy (> 99%) even in a low OSNR regime (< 10 dB). By using nonlinear power transformation and peak detection, the proposed MFI can recognize whether the signal modulation format is BPSK, QPSK, 8-PSK or 16-QAM. Experimental results demonstrate that the proposed MFI can achieve a successful identification rate as high as 99% when the incoming signal OSNR is 7 dB. Key parameters, such as FFT length and laser phase noise tolerance of the proposed method, have been characterized.
Highlights
As the global IP traffic continues its exponential growth due to bandwidth-hungry multimedia and cloud services, optical networking is evolving from the conventional fixed “wavelength grid” paradigm toward a flexible and adaptive architecture [1]
The Tx laser is modulated as 10 GBd BPSK, QPSK, 8-PSK, and 16-QAM using a LiNbO3 modulator and a Tektronix electrical arbitrary waveform generator (EAWG) at 12 GS/s
The output of the I/Q modulator is fed to a noise loader or a 300-km fiber span, which consists of 150-km standard single mode fiber (SSMF) and 150-km dispersion shifted large-effective-area fiber (LEAF)
Summary
As the global IP traffic continues its exponential growth due to bandwidth-hungry multimedia and cloud services, optical networking is evolving from the conventional fixed “wavelength grid” paradigm toward a flexible and adaptive architecture [1]. “Joint OSNR monitoring and modulation format identification in digital coherent receivers using deep neural networks,” Opt. Express 25(15), 17767–17776 (2017). A noise-tolerant MFI scheme based on nonlinear power transformations and peak detection is proposed.
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