Title :
Analytical Results for the x, y Kalman Tracking Filter
Author_Institution :
Applied Physics Lab. Johns Hopkins University Silver Spring, Md. 20910
Abstract :
A two-dimensional x, y Kalman tracking filter is analyzed for a track-while-scan (TWS) operation when the radar sensor measures range and bearing (r, ¿) at uniform sampling intervals T seconds apart. This development explicitly considers the coupling between the quantities measured by the sensor (r, ¿) and the Cartesian x, y coordinate system selected for the tracking operation. The steadystate components of the gain and error covariance matrixes are analytically determined under the assumption of a white noise maneuver acceleration model in two dimensions. These results are verified by computer calculation of the Kalman filter matrix equations.
Keywords :
Acceleration; Computer errors; Coordinate measuring machines; Covariance matrix; Kalman filters; Radar measurements; Radar tracking; Sampling methods; Sensor systems; White noise;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
DOI :
10.1109/TAES.1974.307903