WakeIPDA: Target Tracking With Existence Modeling in the Presence of Wakes
Audun Gullikstad Hem, Hanne-Grete Alvheim, Edmund Brekke · 2023
We present a novel target tracking algorithm, which is designed to track a target in the presence of wake clutter. What distinguishes the method from previous wake-compensating trackers is that it also models the existence of the target and exploits the information provided by the wake measurements for this purpose. We present two ways of modeling the wake, and we evaluate the algorithm’s performance on simulated data. Results show that the method improves upon comparable target tracking methods when wake measurements are present.