A numerical algorithm to propagate navigation error covariance matrices associated with generalized strapdown inertial measurement units
Abstract
The design and operation of a Strapdown Navigation Analysis Program (SNAP) developed to perform covariance analysis on spacecraft inertial-measurement-unit (IMU) navigation errors are described and demonstrated. Consideration is given to the IMU modeling subroutine (with user-specified sensor characteristics), the data input procedures, state updates and the simulation of instrument failures, the determination of the nominal trajectory, the mapping-matrix and Monte Carlo covariance-matrix propagation methods, and aided-navigation simulation. Numerical results are presented in tables for sample applications involving (1) the Galileo/IUS spacecraft from its deployment from the Space Shuttle to a point 10 to the 8th ft from the center of the earth and (2) the TDRS-C/IUS spacecraft from Space Shuttle liftoff to a point about 2 h before IUS deployment. SNAP is shown to give reliable results for both cases, with good general agreement between the mapping-matrix and Monte Carlo predictions.
- Publication:
-
AIAA Guidance, Navigation and Control Conference
- Pub Date:
- 1990
- Bibcode:
- 1990gnc..conf.1319W
- Keywords:
-
- Algorithms;
- Computerized Simulation;
- Error Analysis;
- Inertial Navigation;
- Strapdown Inertial Guidance;
- Galileo Project;
- Gravitational Fields;
- Mapping;
- Monte Carlo Method;
- Tdr Satellites;
- Space Communications, Spacecraft Communications, Command and Tracking