1 research outputs found
Multiple model ballistic missile tracking with state-dependent transitions and Gaussian particle filtering
This paper proposes a new method for tracking the entire trajectory of a ballistic missile from
launch to impact on the ground. Multiple state models are used to represent the different ballistic missile
dynamics in three flight phases: boost, coast and reentry. In particular, the transition probabilities between
state models are represented in a state-dependent way by utilising domain knowledge. Based on this
modelling system and radar measurements, a state-dependent interacting multiple model approach based
on Gaussian particle filtering is developed to accurately estimate information describing the ballistic
missile such as the phase of flight, position, velocity and relevant missile parameters. Comprehensive
numerical simulation studies show that the proposed method outperforms the traditional multiple model
approaches for ballistic missile tracking