An end-point-constrained extended Kalman filter for tracking maneuvering near-radially inbound targets
Anton J. Haug, Kevin R. Ford · International Conference on Information Fusion · 2016
A new end-point-constrained spherical extended Kalman filter is presented for tracking near-radially inbound maneuvering targets. The performance of this new filter is compared to that of both Cartesian and spherical extended Kalman filters for a target that undergoes a set of 15 g maneuvers in all dimensions. Subsonic and supersonic maneuvering targets are considered with a low update period rotating volume search radar as the sensor. For all cases considered, the new filter outperforms all other filters considered.