This study developed a data processing algorithm for a space-based platform engaged in tracking a hypersonic transatmospheric vehicle. The geosynchronous platform was assumed to possess passive sensors measuring target position from data angles. The hypersonic vehicle was assumed to be operating in the outer fringes of the atmosphere. Four element and six element state Kalman filters were developed, coded, and tested against typical transatmospheric flight profiles. Accuracy of the filters in estimating position, velocity, heading, and acceleration was determined for 1, 5, and 10 second data intervals. From this test data, it was concluded that the six element state Kalman filter posed a viable option for tracking and estimating performance of hypersonic aircraft. Theses. (JHD)
Tracking a Hypersonic Aircraft from a Space Platform
1989
117 pages
Report
Keine Angabe
Englisch
NTIS | 1964
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