Feedforward Phase Noise Compensation for Intersymbol Interference Channels
This work addresses phase noise compensation in communication systems, offering improved performance for ISI channels with similar complexity.
The paper introduces a non-iterative phase noise compensation method using the sum-product algorithm for intersymbol interference channels, achieving higher information rates than linear minimum-mean-square-error filtering across three channel types.
A non-iterative phase noise compensation method based on the sum-product algorithm (SPA) is applied to the outputs of intersymbol interference (ISI) channels. The outputs are modeled as independent Gaussian random variables, and the receiver applies mismatched processing with von Mises statistics. The performance is compared with that of linear minimum-mean-square-error filtering. The SPA achieves higher information rates at similar complexity for three channel types: ISI-free, standard single-mode fiber, and multipath channels with orthogonal frequency-division multiplexing.