Dynamic measurement

In metrology, a given measurement technique has fundamental speed and accuracy limitations imposed by physical laws. Data processing allows us to overcome these limitations by using prior knowledge about the sensor dynamics. The prior knowledge considered in this paper is a model class to which the sensor dynamics belongs. We present methods that are applicable to linear time-invariant processes and are suitable for real-time implementation on a digital signal processor.

ISBN:978-1-78561-712-6

Publication year:2019

Keywords:System identification, subspace methods, real-time estimation, Kalman filtering, metrology