Blind Equalization in Optical Communications Using Independent Component Analysis

We propose a multi-tap independent component analysis (ICA) scheme for blind equalization and phase recovery in coherent optical communication systems. The proposed algorithm is described and evaluated in the cases of QPSK and 16-QAM transmission. Comparison with CMA equalization shows similar performance in the case of QPSK and an advantage for the ICA equalizer in the case of 16-QAM. The equalization scheme was evaluated in a multi-span optical communications system impaired by both polarization mode dispersion (PMD) and polarization dependent loss (PDL).

[1]  Tülay Adali,et al.  Complex ICA by Negentropy Maximization , 2008, IEEE Transactions on Neural Networks.

[2]  Erkki Oja,et al.  Independent component analysis: algorithms and applications , 2000, Neural Networks.

[3]  Masanobu Kominami,et al.  Blind phase recovery in QAM communication systems using higher order statistics , 1996, IEEE Signal Processing Letters.

[4]  S. Savory,et al.  Blind Equalization and Carrier Phase Recovery in a 16-QAM Optical Coherent System , 2009, Journal of Lightwave Technology.

[5]  Xiang Zhou,et al.  Polarization Demultiplexing by Independent Component Analysis , 2010, IEEE Photonics Technology Letters.

[6]  T. Hoshida,et al.  Polarization demultiplexing based on independent component analysis in optical coherent receivers , 2008, 2008 34th European Conference on Optical Communication.

[7]  Philippe Ciblat,et al.  Complexity Analysis of Block Equalization Approach for PolMux QAM Coherent Systems , 2011 .

[8]  J. Cardoso,et al.  Blind beamforming for non-gaussian signals , 1993 .

[9]  T. Adali,et al.  Unmixing fMRI with independent component analysis , 2006, IEEE Engineering in Medicine and Biology Magazine.

[10]  Yannick Deville,et al.  Time-domain fast fixed-point algorithms for convolutive ICA , 2006, IEEE Signal Processing Letters.

[11]  Pierre Comon,et al.  How fast is FastICA? , 2006, 2006 14th European Signal Processing Conference.

[12]  Seungjin Choi,et al.  Independent Component Analysis , 2009, Handbook of Natural Computing.

[13]  A. Mecozzi,et al.  The statistics of polarization-dependent loss in optical communication systems , 2002, IEEE Photonics Technology Letters.

[14]  Marian Stewart Bartlett,et al.  Face recognition by independent component analysis , 2002, IEEE Trans. Neural Networks.

[15]  S. Savory Digital Coherent Optical Receivers: Algorithms and Subsystems , 2010, IEEE Journal of Selected Topics in Quantum Electronics.

[16]  Lang Tong,et al.  Relationships Between the Constant Modulus and Wiener Receivers , 1998, IEEE Trans. Inf. Theory.

[17]  D. V. Plant,et al.  Decision directed least radius distance algorithm for blind equalization in a dual-polarization 16-QAM system , 2012, OFC/NFOEC.

[18]  M. Shtaif,et al.  Mean-square magnitude of all orders of polarization mode dispersion and the relation with the bandwidth of the principal states , 2000, IEEE Photonics Technology Letters.

[19]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[20]  Lucas C. Parra,et al.  Convolutive blind separation of non-stationary sources , 2000, IEEE Trans. Speech Audio Process..

[21]  Mark Shtaif,et al.  Performance degradation in coherent polarization multiplexed systems as a result of polarization dependent loss. , 2008, Optics express.

[22]  P. Andrekson,et al.  Convergence Comparison of the CMA and ICA for Blind Polarization Demultiplexing , 2011, IEEE/OSA Journal of Optical Communications and Networking.

[23]  Tülay Adali,et al.  Complex Fixed-Point ICA Algorithm for Separation of QAM Sources using Gaussian Mixture Model , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

[24]  S.R. Curnew,et al.  Blind Signal Separation in MIMO OFDM Systems Using ICA and Fractional Sampling , 2007, 2007 International Symposium on Signals, Systems and Electronics.

[25]  J. Kahn,et al.  Digital Equalization of Chromatic Dispersion and Polarization Mode Dispersion , 2007, Journal of Lightwave Technology.