Abstract

The performance implications of passband impairments and bandwidth narrowing caused by the cascading of optical filters are investigated using a 100 Gb/s dual polarization, quadrature-phase-shift-keyed (DP QPSK) transceiver. The overall responses for cascades of filters are emulated using the combination of a programmable optical filter and variable bandwidth optical filter. The statistical variations in the responses for a cascade are addressed by considering 1000 realizations that result from randomly selected responses for each of the individual filters. To determine the impact on system margins, a methodology based on extreme value statistics is presented. The signal-to-noise ratios (SNRs) that correspond to real-time estimates of the pre-forward error correction bit error ratio (pre-FEC BER) are quantified in terms of the probability that the minimum of $n$ observations of the SNR is less than a specified value (maximum pre-FEC BER exceeds a specified value). This approach improves the reliability of predicting the impact of cascaded filtering on system performance by removing the uncertainty about the underlying statistical distribution of the SNR.

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