Target tracking algorithms for multi-UAVs formation cooperative detection*

This paper considers the problem of ground target positioning and tracking algorithm for multi UAVs formation cooperative detection, a real time fast is proposed based on UAV airborne electro optical sensors. One state estimation nonlinear stochastic system studied by means unscented Kalman filter from process. To extend single to multiple tracking, one improved advised iterative models. Furthermore, relax strict condition white noise in filtering, or reduced derive inner outer ellipsoidal approximations case unknown but bounded noise. Finally, simulation example confirms our theoretical results.