Ballistic trajectory estimation with angle-only measurements
Abstract
An iterative least square estimation algorithm is applied to the problem of state estimation of ballistic trajectories with angle-only measurements. A filter initiation procedure is suggested. The application of trajectory a priori knowledge for improving the state estimate is discussed and solved as a constrained estimation problem. A Monte Carlo simulation study was conducted to evaluate these techniques. It was found that the iterative least square filter achieves the Cramer-Rao bound while the extended Kalman filter generally does not.
- Publication:
-
IEEE Transactions on Automatic Control
- Pub Date:
- June 1980
- Bibcode:
- 1980ITAC...25..474C
- Keywords:
-
- Ballistic Trajectories;
- Control Simulation;
- Kalman Filters;
- Least Squares Method;
- Parameter Identification;
- Trajectory Measurement;
- Algorithms;
- Equations Of Motion;
- Estimating;
- Iterative Solution;
- Monte Carlo Method;
- State Estimation;
- State Vectors;
- Astrodynamics