强跟踪滤波器在实时数据处理中的应用

Strong tracking filter in the application of real-time data processing

针对靶场导弹非线性系统实时数据处理滤波器设计问题,提出了应用带多重时变渐消因子强跟踪滤波算法满足靶场实时数据处理滤波器设计的需求。给出了目标状态方程及强跟踪滤波算法,探讨了时变渐消因子的确定方法,并通过与卡尔曼滤波器比较仿真实验,证明了带多重时变渐消因子的强跟踪滤波算法在非线性系统实时数据滤波处理方面具有较好较强模型不确定性的鲁棒性和突变状态的跟踪能力,解决了非线性系统目标跟踪数据实时处理的技术问题。

This nonlinear system for the missile range real-time data processing filter design problem,proposed application with multiple time-varying fading factor on strong tracking filter to meet the range real-time data processing filter design requirements.Target state is given strong tracking filter equations and to explore the time-varying fading factor to determine methods and compared with the Kalman filter simulation results prove that with multiple time-varying fading factor of the strong tracking filter in the non-linear systems processing real-time data filtering model uncertainty has good strong robustness and mutation status of the tracking capability to solve the nonlinear system tracking the technical aspects of real-time data processing.