Two-step optimal estimator for three dimensional target tracking

摘要: This study presents an adaptation of a novel estimation methodology to the general nonlinear three-dimensional problem tracking maneuvering target. The two-step optimal estimator (TSE) suggests attractive alternative standard extended Kalman filter (EKF). A superior performance is accomplished by dividing into two steps: linear first step and second step. target TSE shown be better than EKF implemented in either inertial or modified spherical coordinates. In passive case, where bearing/elevation angles only are measured, yields excellent range acceleration estimates. active measurement available as well, homing missile employing closed-loop guidance based on state estimates obtains smaller miss distances with versions EKF.