## 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) |
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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