Estimation of ICBM (Intercontinental Ballistic Missile) Performance Parameters
Abstract
A Bayes filter was used to estimate launch vehicle performance parameters. The main emphasis was to devise the means to detect a staging event, estimate the staging time and next stage vehicle parameters, and reenter the main Bayes Filter to process subsequent stage observation data. The state model consisted of the vehicle position and velocity vectors, the exhaust velocity and the mass ratio. Results indicated that the staging event could be successfully detected by comparing the position of the vehicle as represented by the observation data and the position as represented by the numerical integrator. Exhaust velocity and mass ratio of the next stage could not be estimated independently. The staging estimater state model was then altered to estimate the product of the exhaust velocity and mass ratio. Problems encountered reentering the main Bayes Filter were identical to the ones the staging estimator had. It was then determined that there was a possible observability problem with the main algorithm. It was recommended that the main state vector be altered to include the product of the exhaust velocity and mass ratio rather than their independent estimation.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 1985
- Accession Number
- ADA164021
Entities
People
- Ronald A. Worley
Organizations
- Air Force Institute of Technology