Title :
Theory and application of adaptive fading memory Kalman filters
Author_Institution :
MIT Lincoln Lab., Lexington, MA, USA
fDate :
4/1/1988 12:00:00 AM
Abstract :
To resolve difficulties encountered in estimating rigid body motion from noisy radar measurements, the behavior of an adaptive fading-memory Kalman filter is studied. How adaptive fading-memory Kalman filters can be constructed to estimate rigid body motion from radar measurements is described. A review of fading-memory Kalman filters is contained, with emphasis on their interpretation in the frequency domain. The stability analysis of an adaptive fading-memory Kalman filter is performed. Sample behavior of the error state vector is also examined. The application of the adaptive fading-memory Kalman filters to rigid-body motion estimation is briefly described
Keywords :
Kalman filters; filtering and prediction theory; radar theory; signal processing; stability; Kalman filters; adaptive fading memory; frequency domain; noisy radar measurements; rigid-body motion estimation; signal processing; stability analysis; Adaptive filters; Circuits and systems; Equations; Fading; Frequency domain analysis; Gravity; Maximum likelihood estimation; Motion estimation; Radar measurements; Stability analysis;
Journal_Title :
Circuits and Systems, IEEE Transactions on