The paper considers the estimation of error in the time correlation of measurements in relation to state determination for a dynamic system. An algorithm has been devised for a joint estimation of the object state vector and the time correlation error, which is based on a modification of a Kalman filtration dynamic algorithm.
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B. Ristic, S. Arulampalam, and N. Gordon, Beyond the Kalman Filter: Particle Filters for Tracking Applications, Artech House Publ., Boston and London (2004), p. 297.
E. V. Postnikov, Izv. SPbGETU LETI, Series Informatics, Control, and Computer Technologies [in Russian], Issue 2, 19 (2007).
B. F. Zhdanyuk, Principles for the Statistical Processing of Path Measurements [in Russian], Sov. Radio, Moscow (1978).
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Translated from Izmeritel’naya Tekhnika, No. 4, pp. 10–12, April, 2009.
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Kolodyazhnyi, A.N., Postnikov, E.V. Estimating the errors of measurement time correlations. Meas Tech 52, 344–348 (2009). https://doi.org/10.1007/s11018-009-9290-7
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DOI: https://doi.org/10.1007/s11018-009-9290-7