PROJECT TITLE :
Performance Analysis of a New Calibration Method for Fiber Nonlinearity Compensation - 2018
Digital Signal Processing for fiber nonlinearity compensation could be a key enabler for the ever-increasing demand for higher information rates in coherent optical transmissions. A major challenge of existing techniques is that the fiber nonlinear coefficient wants to be scaled properly throughout compensation in order to achieve the achievable signal quality increase. We have a tendency to solve this downside employing a low-complexity algorithm adaptively optimizing a metric based on the soft-call bitwise demodulator used for modern forward error correction decoders. An analytical model shows that the proposed theme converges to the optimal scaling factor with a predictable precision that is validated by numerical results.
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