Abstract
High data-rate WDM optical transmission network management requires monitoring a variety of channel performance parameters such as wavelength, power, SNR, etc. Cost-effective monitoring solutions aim to perform most of the processing electronically, in a bid to reduce the number of expensive optical components. The (spatial) independence between the transmitted WDM channels has been exploited in recent works.1,2,3 The technique3 is able to reconstruct the complete channel waveforms, from which performance parameters can then be measured. Wavelength-dependent attenuators (WDAs) are employed to obtain additional observations of the WDM signal, each observation being considered as a mixture of the constituent channels. Because the independent channels contribute with different strengths to each observation, sufficient spatial diversity is available for a suitable blind signal separation (BSS) method to recover the original transmitted waveforms. The symmetric adaptive decorrelation (SAD)4 was adopted as a separation device. This particular technique, however, presents a number of deficiencies. Its complexity is of order O(N!) for an N-channel WDM transmission, and it has inherent stability and convergence difficulties—including spurious non-separating solutions4—which may hinder the monitoring process in practical cases. Also, the method is based on second-order statistics, which causes identifiability problems in the separation of spectrally white sources.
© 2002 Optical Society of America
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