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Poster De Conférence Année : 2023

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

Résumé

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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Dates et versions

cea-04371974 , version 1 (04-01-2024)

Identifiants

Citer

Yaya Bello, Jean-Baptiste Dore, David Demmer. Wiener interpolation filter for phase noise estimation in sub-THz transmission. IEEE VTC-Spring - 2023 IEEE 97th Vehicular Technology Conference, Jun 2023, Florence, Italy. , 2023, pp.1-5, 2023, 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring). ⟨10.1109/VTC2023-Spring57618.2023.10200443⟩. ⟨cea-04371974⟩
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