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The estimation of time-dependent phase-shifts of distorted signals is an ubiquitous problem in signal-processing. Processing of data from plasma interferometry reveals that the standard approach based on band-pass filtering can result in misleading results already for moderate signal-to-noise ratios. An alternative phase estimation method based on a combination of direct signal matching and a directional statistics based Kalman filter is shown to yield superior phase-shift estimations for a wide range of conditions. The approach is illustrated on selected data and possible further enhancements are outlined.

Robust phase estimation for signals with a low signal-to-noise-ratio