SINS/SNS integration based on a loosely coupled integration scheme using an extended Kalman filter
Abstract
The problem of SINS / SNS integration based on the loosely coupled integration scheme using the extended Kalman filter (EKF) is considered. Full stochastic models of measurements of inertial sensors based on MEMS technology are used. The EKF performance is confirmed by computational experiments using real measurements of SINS based on MEMS technology. The results of estimating the drifts of inertial sensors and the accuracy of coordinates determination in the condition of SNS signal dropout for different time intervals of SNS out-of-service state are presented.
- Publication:
-
XLIII Academic Space Conference: dedicated to the memory of academician S.P. Korolev and other outstanding Russian scientists - Pioneers of space exploration
- Pub Date:
- November 2019
- DOI:
- 10.1063/1.5133301
- Bibcode:
- 2019AIPC.2171o0003A