通过速度矢量分解的方法构建基于弹目信息状态变量系统的弹目相对运动模型.并在此基础上提出了高精度惯导速度信息辅助的扩展卡尔曼滤波方法(Inertial Navigation System Velocity Information Aided Extended Kalman Filter
IVIA-EKF)
通过该方法可以充分利用惯导信息
抑制导弹量测误差
提高导弹打击精度
仿真实验表明了该方法的合理有效性.
Abstract
A novel missile-to-target relative motion model for terminal guidance is placed here.Aided by precision velocity information of inertial navigation system (INS)
it overcomes the difficulties of actual inertial acceleration modeling in conventional methods.Missile dynamic was provided by on-board INS
while target maneuver was modeled as a first-order Markov process.On the resolution of velocity vector
the motion model using relative state vector was lastly proposed
which was directly applied into the constructing of a INS velocity information aided extended Kalman filter (IVIA-EKF).This filter could make full use of INS information to help suppressing seeker measurement error and enhancing precision striking.The proposed filter in missile terminal guidance was then validitied by simulation.