Performance analysis of Cubature rule based Kalman filter for target tracking

Abstract

In this paper, the Cubature Kalman filter (CKF) is implemented for tracking maneuvering targets such as ballistic missiles, aircraft, etc. Its high accuracy at a relatively low computational cost makes it suitable for real-life applications. The coordinated model is adopted for modeling of the maneuvering targets. The simulation results for this filter are observed for maneuvering targets with varying turn rate. The performance is analyzed in terms of the root mean square error (RMSE) computed over a large number of Monte-Carlo runs. The simulation results reveal a successful tracking of the moving targets using the CKF. From simulations, we observe that RMSE increases with the turn rate. © 2020 IEEE.