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Open Access. Powered by Scholars. Published by Universities.®

2012

Air Force Institute of Technology

Kalman filtering

Articles 1 - 3 of 3

Full-Text Articles in Engineering

Air-To-Air Missile Vector Scoring, Nicholas Sweeney Mar 2012

Air-To-Air Missile Vector Scoring, Nicholas Sweeney

Theses and Dissertations

An air-to-air missile vector scoring system is proposed for test and evaluation applications. Three different linear missile dynamics models are considered: a six-state constant velocity model and nine-state constant acceleration and three-dimensional coordinated turn models. Frequency modulated continuous wave radar sensors, carefully located to provide spherical coverage around the target, provide updates of missile kinematic information relative to a drone aircraft. Data from the radar sensors is fused with predictions from one of the three missile models using either an extended Kalman filter, an unscented Kalman filter or a particle filter algorithm. The performance of all nine model/filter combinations are …


Air-To-Air Missile Enhanced Scoring With Kalman Smoothing, Jonathon S. Gipson Mar 2012

Air-To-Air Missile Enhanced Scoring With Kalman Smoothing, Jonathon S. Gipson

Theses and Dissertations

A correct estimate of a missile's flight path is essential to USAF test and evaluation efforts. The USAF air-to-air Weapons System Evaluation Program (WSEP) targets unmanned aerial drones in hundreds of live-fire missile tests each year. The current QF-4 drone inventory is expected to be depleted by 2015. The QF-16 Full Scale Aerial Target (FSAT) contract has been awarded to convert usable early model F-16s into remote-controlled drones. The QF-16 will provide a highly-maneuverable, realistic testing environment for 5th generation fighters. To accomplish their mission, WSEP requires a scoring system capable of estimating the trajectory of a missile relative to …


All Source Sensor Integration Using An Extended Kalman Filter, Timothy R. Penn Mar 2012

All Source Sensor Integration Using An Extended Kalman Filter, Timothy R. Penn

Theses and Dissertations

The global positioning system (GPS) has become an ubiquitous source for navigation in the modern age, especially since the removal of selective availability at the beginning of this century. The utility of the GPS is unmatched, however GPS is not available in all environments. Heavy reliance on GPS for navigation makes the warfighter increasingly vulnerability as modern warfare continues to evolve. This research provides a method for incorporating measurements from a massive variety of sensors to mitigate GPS dependence. The result is the integration of sensor sets that encompass those examined in recent literature as well as some custom navigation …