Abstract
Maximum likelihood failure detection (MLFD) theory is used to estimate the acceleration of a moving target performing an evasive maneuver during an air-to-air interception. Target acceleration is shown to introduce a bias in the residual of the navigation (Kalman) filter. The MLFD algorithm processes this biased residual to detect acceleration transitions, estimate the acceleration subsequent to the transition, and provide a correction term that approximately cancels the error due to target acceleration in estimating the projected miss distance. Simulation results demonstrating for a particular case that the rms terminal miss distance is reduced from 6. 8 to 0. 9 feet by application of the MLFD algorithm are presented.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1398-1402 |
| Number of pages | 5 |
| Journal | Proceedings of the IEEE Conference on Decision and Control |
| DOIs | |
| State | Published - 1984 |
| Externally published | Yes |
All Science Journal Classification (ASJC) codes
- Control and Optimization
- Control and Systems Engineering
- Modeling and Simulation