Research on collaborative locating algorithm based on adaptive interactive multi model

Abstract Aiming at the problem of target position determination through multi-missile collaboration, algorithm research on target position estimation was carried out based on the line of sight angle and missile target distance measured by the guidance head. Finally, the “current” model and uniform acceleration model were used as the target motion models, and an interactive multi-model filter was constructed based on the square root Cubature Kalman filter algorithm to achieve position estimation of the target from serpentine maneuver to uniform motion. We have improved the calculation method for the transition probabilities of various models in interactive multi models, adaptively adjusting the transition probabilities based on the model probabilities and designing an adjustment algorithm. Digital simulations have shown that the proposed adaptive interactive multi-model algorithm can effectively estimate the position of complex maneuvering targets and improve the recognition probability and estimation accuracy of the model.