In the design of a tracking filter for air traffic control (ATC) applications, a maneuvering aircraft can be modelled by a linear system with random noise accelerations. A Kalman filter tracker, designed on the basis of a variance chosen according to the distribution of the potential maneuver accelerations, will maintain track during maneuvers and provide some improvement in position accuracy. However, during those portions of the flight path where the aircraft is not maneuvering, the tracking accuracy will not be as good as if no acceleration noise had been allowed in the tracking filter. In this paper, statistical decision theory is used to derive an optimal test for detecting the aircraft maneuver, a more practical suboptimal test is then deduced from the optimal test. (Modified author abstract)
Decision-Directed Adaptive Tracker
1972
9 pages
Report
No indication
English
A Decision - Directed Adaptive Tracker
IEEE | 1973
|Decision-Directed Adaptive Estimation and Guidance for an Interception Endgame
Online Contents | 2006
|