Wiener Interpolation Filter for Phase Noise Estimation in sub-THz Transmission

Abstract

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.