Instruments and Systems: Monitoring, Control, and Diagnostics Annotation << Back Research of Processing Algorithms Navigation Information When Lost GLONASS Signals in the Measuring Complex Unmanned Aerial Vehicle A.O. KUPRIYANOV, A.L. MASLENNIKOV, M.S. SELEZNEVA, K.A. NEUSYPIN The navigation complex of an unmanned aerial vehicle is considered. The navigation complex includes an inertial navigation system, a GLONASS receiver and an estimation algorithm. During the flight, using the estimation algorithm, the estimates of the errors of the inertial navigation system are calculated, which are used to correct the navigation definitions of the unmanned aerial vehicle. In conditions of active and passive interference, GLONASS signals become unreliable or disappear altogether. When the signals are lost, the procedure for predicting the lost information is applied. It is possible to predict a lost GLONASS signal, a signal proportional to a mixture of GLONASS and inertial navigation system errors, or an inertial navigation system error estimate. The study of the accuracy of information processing by these forecasting methods is carried out. To prevent the influence of inaccuracy in setting a priori statistical characteristics, an adaptive Kalman filter is used. The analysis of the accuracy characteristics of the algorithms was carried out using the data of a full-scale experiment. Keywords: unmanned aerial vehicle; navigation complex; adaptive Kalman filter; loss of GLONASS signal; forecast; inertial navigation system errors; accuracy assessment; flight experiment. DOI: 10.25791/pribor.6.2021.1263 Pp. 01-09.