2015 Photonics North 2015
DOI: 10.1109/pn.2015.7292462
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Demultiplexing by independent component analysis in coherent optical transmission: The polarization channel alignment problem

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“…The use of the PC was required to avoid the use of polarization tracking algorithms for the NFT signals, which were not available at the time of the experiment. In the future it could be possible to use modulation independent polarization tracking algorithms, as an example using independent components analysis [43]. The signal is then detected by using a standard coherent receiver (33 GHz analog bandwidth, 80 GSa/s), in a homodyne configuration where the transmitter laser is used as LO.…”
Section: B Experimental Setupmentioning
confidence: 99%
“…The use of the PC was required to avoid the use of polarization tracking algorithms for the NFT signals, which were not available at the time of the experiment. In the future it could be possible to use modulation independent polarization tracking algorithms, as an example using independent components analysis [43]. The signal is then detected by using a standard coherent receiver (33 GHz analog bandwidth, 80 GSa/s), in a homodyne configuration where the transmitter laser is used as LO.…”
Section: B Experimental Setupmentioning
confidence: 99%
“…However, these blind algorithms have low convergence speed, singularity problem, and step-length sensitivity [5] due to the intrinsic shortcoming of such modulus-based cost functions. Besides, the independent component algorithm (ICA) is also effective for blind source separation [6,7] , which solves the singularity [8] but has the inherent polarization alignment problem [9] . The singularity problem can be solved by Stokes space estimation or as the initialization of the elements in the Jones matrix for the CMAbased blind equalizations.…”
Section: Introductionmentioning
confidence: 99%