A CD adaptive monitoring and compensation method based on the average of the autocorrelation matrix eigenvalue

A new autocorrelation matrix eigenvalue based digital signal processing (DSP) chromatic dispersion (CD) adaptive monitoring and compensation method is proposed. It employs the average of the autocorrelation matrix eigenvalue instead of eigenvalue spread to be the metric of scanning. The average calculation has been effective in relieving the degradation of performance caused by the fluctuation of autocorrelation matrix eigenvalue. Compare with the eigenvalue spread scanning algorithm, this method reduces the monitoring errors to below 10 ps/nm from more than 200 ps/nm, while not increasing its computation complexity. Simulation results show that in 100 Gbit/s polarization division multiplexing (PDM) quadrature phase shift keying (QPSK) coherent optical transmission system, this method improves the bit error rate (BER) performance and the system robustness against the amplified-spontaneous-emission noise.