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作 者:Hongxia LI Huijie LI Yuanli CAI
机构地区:[1]School of Electronic and Information Engineering, Xi’an Jiaotong University
出 处:《Chinese Journal of Aeronautics》2019年第10期2311-2323,共13页中国航空学报(英文版)
基 金:supported by the National Natural Science Foundation of China(No.71571190)
摘 要:This paper introduces a novel and efficient algorithm for online estimation of zero-effortmiss 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.This paper introduces a novel and efficient algorithm for online estimation of zero-effortmiss 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.
关 键 词:Data driven Missile-target SEPARATIONS Online estimation TIME-TO-GO Zero-effort-miss
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