Estimation of Dynamic Error Parameters in a Measurement Chain Based on the Spectrum of Input Quantities

Featured Application: Estimation of dynamic error signal parameters for a measurement chain containing a digital signal processing algorithm. This paper presents a method for estimating the parameters of the dynamic error signal in a measurement chain. The method is based on knowledge of the transmittance of subsequent elements in the chain and analysis of the spectrum of the processed signal. The proposed approach allows for determining the parts of uncertainty budget of the measurement chain related with dynamic errors, considering the currently processed signal and the calculation of the expanded uncertainty associated with the dynamic error signal. The paper describes the proposed error model, the algorithm for estimating the error signal parameters, and detail measurement and simulation experiments conducted to verify the effectiveness of the proposed method.