@ARTICLE{Dichev_Dimitar_An_2016, author={Dichev, Dimitar and Koev, Hristofor and Bakalova, Totka and Louda, Petr}, volume={vol. 23}, number={No 4}, journal={Metrology and Measurement Systems}, pages={555-565}, howpublished={online}, year={2016}, publisher={Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation}, abstract={The paper considers an algorithm for increasing the accuracy of measuring systems operating on moving objects. The algorithm is based on the Kalman filter. It aims to provide a high measurement accuracy for the whole range of change of the measured quantity and the interference effects, as well as to eliminate the influence of a number of interference sources, each of which is of secondary importance but their total impact can cause a considerable distortion of the measuring signal. The algorithm is intended for gyro-free measuring systems. It is based on a model of the moving object dynamics. The mathematical model is developed in such a way that it enables to automatically adjust the algorithm parameters depending on the current state of measurement conditions. This makes possible to develop low-cost measuring systems with a high dynamic accuracy. The presented experimental results prove effectiveness of the proposed algorithm in terms of the dynamic accuracy of measuring systems of that type.}, type={Artykuły / Articles}, title={An Algorithm for Improving the Accuracy of Systems Measuring Parameters of Moving Objects}, URL={http://www.journals.pan.pl/Content/106348/PDF/10.1515mms-2016-0041%20paper%2006.pdf}, doi={10.1515/mms-2016-0041}, keywords={Kalman filter, adaptive algorithm, dynamic measurements, dynamic error, adaptive measuring systems}, }