Robust phase estimation for signals with a low signal-to-noise-ratio
U. von Toussaint · AIP conference proceedings · 2015
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.