Target Classification and Tracking Based on Aerodynamic Properties and RCS Information Using Rao-Blackwellized Particle Filter

During the stage separation phase of ballistic missile (BM), in addition to the warhead, different types of confusing objects such as fuel tanks and boards occur. At this point, classifying warhead and other confusing objects is very important for missile defense. Therefore, we propose tracking and classification algorithm in the BM stage separation environment through Rao-Blackwellized particle filter. The proposed algorithm utilizes the known physical characteristics, aerodynamic forces, moments of the targets in advance for dynamic update and RCS information for measurement update. The performance of the proposed framework is analyzed by several simulation results.