Method of missile tracking in images based on ordered weight residual resampling particle filter

There were many problems existing in the missile alarm and tracking for aircrafts, such as 2D missile motion modeling, the nonlinearity of the motion model and the non-Gaussian of the interference. The motion pattern of the proportional navigated missile from the 3D space to the camera imaging plane was studied and the motion model of the 2D projection of the proportional navigated missile was established. Since the velocity and acceleration in the model was non-linear, and the random interference (e.g., wind direction, wind power, cyclone, air flow) encountered by missiles was also non-linear, the particle filter was used to track missiles. As for the particle degeneration problem in the tracking procedure, the ordered weight residual resampling particle filter (OWRR-PF) method was presented to release the particle degeneration problem and improve the tracking accuracy. Experimental results demonstrate that the tracking accuracy by using OWRR-PF method was improved by 70% than the standard particle filter, and 15% than the residual resampling particle filter.