DocumentCode
1800699
Title
Air-to-air missile vector scoring
Author
Sweeney, Nicholas ; Fisher, Kenneth
Author_Institution
Air Force Inst. of Technol., Wright-Patterson AFB, OH, USA
fYear
2011
fDate
28-30 Sept. 2011
Firstpage
579
Lastpage
586
Abstract
An air-to-air missile vector scoring system is proposed for test and evaluation applications. A linear six-state constant velocity (CV) dynamics model is used, consisting of missile position and velocity in a Cartesian coordinate system. Frequency modulated continuous wave (FMCW) 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 are linearized about a nominal measurement and fused with missile model predictions using an extended Kalman filter (EKF) algorithm. The performance of the system is evaluated through high-fidelity, six-degree of freedom (6DOF) simulations yielding sub-meter end-game accuracy in a variety of scenarios.
Keywords
CW radar; FM radar; Kalman filters; linear systems; linearisation techniques; missile control; position control; sensor fusion; velocity control; Cartesian coordinate system; EKF algorithm; FMCW radar sensors; air-to-air missile vector scoring system; data linearization; drone aircraft; extended Kalman filter; frequency modulated continuous wave radar; linear six-state constant velocity dynamics model; missile kinematic information; missile model prediction; missile position; missile velocity; submeter end-game accuracy; target spherical coverage; Aircraft; Atmospheric modeling; Clutter; Missiles; Radar; Sensors; Target tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Applications (CCA), 2011 IEEE International Conference on
Conference_Location
Denver, CO
Print_ISBN
978-1-4577-1062-9
Electronic_ISBN
978-1-4577-1061-2
Type
conf
DOI
10.1109/CCA.2011.6044487
Filename
6044487
Link To Document