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Wiener interpolation filter for phase noise estimation in sub-THz transmission
Yaya Bello, Jean-Baptiste Dore, David Demmer

Wiener interpolation filter for phase noise estimation in sub-THz transmission

Science & Mathematics Published 2023 Verification Pending

Overview & Synopsis

High frequency transmissions above 90 GHz, as planned for the future generation of communication technology called 6G, have to deal with oscillator-induced phase noise. This phase noise deteriorates the system performance and then, signal processing techniques are mandatory to counteract its effects. In this paper, we describe and analyze a phase noise estimation algorithm based on an Wiener interpolation filter. The proposed technique is waveform agnostic and can be applied either to 5G-NR mutlicarrier waveforms such as orthogonal frequency division multiplexing (OFDM) and discrete Fourier transform spread OFDM (DFT-s-OFDM), or to single carrier systems. In this study, we highlight the feasibility of this algorithm in practical scenarios by providing both a theoretical analysis and a performance evaluation.

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Document Information

Document Title Wiener interpolation filter for phase noise estimation in sub-THz transmission
Author / Organization Yaya Bello, Jean-Baptiste Dore, David Demmer
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2023
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-133824
Original Source Link Visit Source Page on hal.science »