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Clustering algorithms for Stokes space modulation format recognition
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DOI：10.1364/OE.23.015521.png)
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Stokes space modulation format recognition (Stokes MFR) is a blind method enabling digital coherent receivers to infer modulation format information directly from a received polarization-division-multiplexed signal. A crucial part of the Stokes MFR is a clustering algorithm, which largely influences the performance of the detection process, particularly at low signal-to-noise ratios. This paper reports on an extensive study of six different clustering algorithms: k-means, expectation maximization, density-based DBSCAN and OPTICS, spectral clustering and maximum likelihood clustering, used for discriminating between dual polarization: BPSK, QPSK, 8-PSK, 8-QAM, and 16-QAM. We determine essential performance metrics for each clustering algorithm and modulation format under test: minimum required signal-to-noise ratio, detection accuracy and algorithm complexity. (C) 2015 Optical Society of America
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3.3
论文数:
6.1W
被引数:
14.3W
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Modulation format identification in heterogeneous fiber-optic networks using artificial neural networks.png)
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