Feedforward Phase Noise Compensation for Intersymbol Interference Channels
Fuente:
arXiv
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| Autori principali: | , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| _version_ | 1866917423035187200 |
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| author | Jäger, Alex Kramer, Gerhard |
| author_facet | Jäger, Alex Kramer, Gerhard |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_18391 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Feedforward Phase Noise Compensation for Intersymbol Interference Channels Jäger, Alex Kramer, Gerhard Information Theory Signal Processing 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. |
| title | Feedforward Phase Noise Compensation for Intersymbol Interference Channels |
| topic | Information Theory Signal Processing |
| url | https://arxiv.org/abs/2604.18391 |