TY - JOUR N2 - A navigation complex of an unmanned flight vehicle of small class is considered. Increasing the accuracy of navigation definitions is done with the help of a nonlinear Kalman filter in the implementation of the algorithm on board an aircraft in the face of severe limitations on the performance of the special calculator. The accuracy of the assessment depends on the available reliable information on the model of the process under study, which has a high degree of uncertainty. To carry out high-precision correction of the navigation complex, an adaptive non-linear Kalman filter with parametric identification was developed. The model of errors of the inertial navigation system is considered in the navigation complex, which is used in the algorithmic support. The procedure for identifying the parameters of a non-linear model represented by the SDC method in a scalar form is used. The developed adaptive non-linear Kalman filter is compact and easy to implement on board an aircraft. L1 - http://journals.pan.pl/Content/113099/PDF/08_MMS_3_INTERNET.pdf L2 - http://journals.pan.pl/Content/113099 PY - 2019 IS - No 3 EP - 550 DO - 10.24425/mms.2019.129580 KW - unmanned aerial vehicle KW - non-linear Kalman filter KW - parametric identification KW - SDC representation KW - implementation in the special calculator A1 - Selezneva, Maria S. A1 - Neusypin, Konstantin A. A1 - Proletarsky, Andrey V. PB - Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation VL - vol. 26 DA - 2019.09.23 T1 - Navigation complex with adaptive non-linear Kalman filter for unmanned flight vehicle SP - 541 UR - http://journals.pan.pl/dlibra/publication/edition/113099 T2 - Metrology and Measurement Systems ER -