Analysis of Signal Processing Algorithms of Coriolis Mass Flowmeters

Abstract

For fast and precise flow measurement using coriolis flowmeters it is necessary to accurately determinate the phase difference between two noisy position signals. These signals are digitized and filtered before being processed by phase tracking algorithms. This work investigates the influence of discretization and noise shaping on different phase tracking methods and their estimation efficiency, computational complexity, real-time performance and memory requirements.