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