Trajectory Tracking by the Interacting Multiple Model Algorithm: Genetic Approach to Improve the Performance

In the paper, we consider an application of the genetic approach to improve the performance of the trajectory tracking procedure. Our aim is to reduce the horizontal position estimation errors. The procedure is based on the well known Interacting Multiple Model algorithm and has many parameters to be adjusted, e.g., elements of the transition probability matrix. A genetic tuning algorithm is elaborated and some numerical experiments on simulated aircraft trajectories are made.