Distributed cooperative tracking and cooperative guidance against maneuvering aerial target

Abstract

This paper designs finite-time distributed state estimation algorithm and cooperative guidance law for high-maneuvering target salvo attack. Considering the maneuvering property of the target, a novel maneuvering model is proposed, which can adjust the maneuvering parameter adaptively. Based on the maneuvering target model, the interactive multiple models (IMM)-based distributed cubature information filtering (DCIF) algorithm is designed by two phases, named local filtering phase and consensus fusion phase. The final estimate results can be obtained by fusing the parallel local estimate results effectively with finite consensus fusion steps, which are used to design the cooperative guidance law for maneuvering target salvo attack. Besides, with necessary mild conditions, the lower bound and upper bound of the information matrix are proved to exist, and the stability of the proposed distributed algorithm is analyzed by Lyapunov stability theory and stochastic stability theory. Besides, the cooperative attack simulation example is given to validate the effectiveness of the proposed algorithm.