This paper compares the performance of several non-linear filters for the real-time
estimation of the trajectory of a reentry vehicle from its radar observations. In particular, it …

This paper examines several versions of the extended Kalman filter which can be used to
estimate the position, velocity, and other key parameters associated with maneuvering …

This paper studies the problem of tracking a ballistic object in the reentry phase by
processing radar measurements. A suitable (highly nonlinear) model of target motion is …

Tracking of a ballistic re-entry object from radar observations is a highly complex problem in
nonlinear filtering. The paper adopts a one-dimensional vertical motion model with unknown …

The application of nonlinear Kalman filtering techniques to the continuous updating of an
inertial navigation system using individual radar terrain-clearance measurements has been …

Five important tracking filters that are often candidates for implementation in systems that
must track maneuvering vehicles are compared in terms of tracking accuracy and computer …

It is well known that the extended Kalman filtering methodology works well in situations
characterized by a high signal-to-noise ratio, good observability and a valid state trajectory …

The conventional Kalman tracking filter incurs mean tracking errors in the presence of a pilot-
induced target maneuver. Chan, Hu, and Plant proposed a solution to this problem which …

The nonlinearities of the radar measurement model equation are examined and their
influence upon the accuracy of filtering and smoothing is determined. A simple algorithm by …

TO SAVE the manual efforts and costs spent on the ground station system, and to enhance
the survivability of vehicles, autonomous systems including guidance, navigation, and …