Fixed-Gain Augmented-State Tracking-Filters
For radar/sensor tracking applications, it offers a simpler method to design higher-order tracking filters with improved response shaping.
The paper proposes a fixed-gain tracking filter design using an augmented-state observer with signal and interference subspaces, incorporating Newtonian and maneuver models to shape transient and steady-state responses.
A procedure for the design of fixed-gain tracking filters, using an augmented-state observer with signal and interference subspaces, is proposed. The signal subspace incorporates an integrating Newtonian model and a second-order maneuver model that is matched to a sustained constant-g turn; the deterministic interference model creates a Nyquist null for smoother track estimates. The selected models provide a simple means of shaping and analyzing the (transient and steady-state) response of tracking-filters of elevated order.