Passive locating and tracking of 3D maneuvering target with multi-airborne platforms

Considering the problem of passive locating and tracking of a maneuvering target in the sky, a method is proposed in which the least square estimation of target location is derived based on static estimation theory at first, and then the adaptive Kalman filter based on "current" statistical model is used to improve the location accuracy. Better effect is obtained than the algorithm combining least square estimation and standard Kalman filter. The simulation results show that the method has the same accuracy as the combining algorithm in tracking a non -maneuvering target, while it has fewer errors in tracking a maneuvering target.