A Cartesian coordinate linear regression filter is utilized for tracking maneuvering aircraft targets. Measurements of target position are made in a line-of-sight coordinate frame, but filtering is performed in Cartesian coordinates. Numerical results are given for optimizing the truncation time constant such that a good balance is obtained between the dynamic errors and the standard deviations. Lower bounds on the dynamic errors are established for the Cartesian coordinate linear regression filter and compared with a line-of-sight coordinate Kalman filter.
Linear Regression Filtering and Prediction for Tracking Maneuvering Aircraft Targets
IEEE Transactions on Aerospace and Electronic Systems ; AES-8 , 6 ; 800-810
1972-11-01
2383839 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Tracking of Multiple Maneuvering Targets using Multiscan JPDA and IMM Filtering
Online Contents | 2007
|Optimal Tracking of Maneuvering Targets
IEEE | 1973
|Novel Nonlinear Filtering & Prediction Method for Maneuvering Target Tracking
Online Contents | 2009
|