Efficient and accurate online estimation algorithm for zero-effort-miss and time-to-go based on data driven method

Abstract

This paper introduces a novel and efficient algorithm for online estimation of zero-effort-miss and time-to-go based on data driven method. Only missile-target separations are utilized to construct the estimation models, and a practical Fisher fusion algorithm is derived to acquire the estimates with high accuracy and computational efficiency. Further, the two parameters can be online estimated at a particular time. Meanwhile, the kinematics equations of the missile-target engagement are independent, and assumptions of the missile guidance system dynamics and behaviors of the missile and target are completely out of consideration. Moreover, the effectiveness and applicability are explicitly verified through various simulation scenarios.