Accession Number:

ADA164034

Title:

Preliminary Kalman Filter Design to Improve Air Combat Maneuvering Target Estimation for the F-4E/G Fire Control System.

Descriptive Note:

Master's thesis,

Corporate Author:

AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF ENGINEERING

Personal Author(s):

Report Date:

1985-12-01

Pagination or Media Count:

449.0

Abstract:

Currently, the F-4EG uses a Wiener-Hopf filter for estimating target position, velocity, and acceleration during air combat maneuvering. As implemented, the errors between the actual target variables and the estimate of these variables are too large. The purpose of this study is to evaluate the feasibility of replacing the Wiener-Hopf filter with a Kalman filter in order to obtain better estimates. The evaluation is made by first designing an appropriate preliminary design Kalman filter and then testing the design through a Monte Carlo computer simulation analysis. The computer simulation results indicate that the Kalman filter is capable of significantly outperforming the Wiener-Hopf filter and as such should be developed into a final design. The Kalman filter contains nine states three relative target position, three total target velocity, and three total target acceleration states. Filter propagation is based on linear time-invariant dynamics primarily because of the limited capabilities of the on-board aircraft computer. The linear dynamics permits propagation by a state transition matrix. Measurement updates use six measurements range, range rate, azimuth angle, elevation angle, azimuth rate, and elevation rate available on the F-4. Both continuous time sampled-data and discrete-time sampled-data designs are included. Author

Subject Categories:

  • Fire Control and Bombing Systems

Distribution Statement:

APPROVED FOR PUBLIC RELEASE