New method of multi-platform passive tracking of maneuvering targets under condition of non-Gaussian noise

To overcome the problem of passive sensors bearing-only target tracking,an augmented unscented Kalman filtering(UKF) algorithm is proposed.A variable dimension interacting multiple mode(IMM) algorithm is proposed by improving the classic IMM to solve the problem of the maneuvering target tracking by the interacting fusion of different dimension modes.In consideration of the real problem that the measuring noise may be the non-Gaussian noise is considered,the selfadaptive robust filtering noise is introduced.Finally,A VDIMM-AAUKF algorithm is proposed.The maneuvering target tracking is implemented by multiple bearing-only passive sensors under Gaussian or non-Gaussian noise.Simulation results show that the algorithm has high tracking accuracy and good stability,and has a practical application value.