指出目标运动先验信息、系统结构信息和设备测量信息的融合应用是提高滤波器跟踪性能的核心。进而综述了弹道目标融合滤波中的运动模型构造、滤波算法设计以及测量误差处理等环节中的关键技术和研究现状。并针对传统实时处理结构弊端,分析了实时跟踪系统的设计方法,讨论了如何建立高效的弹道跟踪数据处理流程,通过融合策略并举的方式实现系统各类信息的有效利用。一些设计方法可以为实际跟踪滤波器的开发提供参考。最后,结合空间应用的发展需求,分析了弹道目标跟踪技术的研究方向。
The significance for integrated usage of prior dynamic character, system structure and measurement information is suggested. Then, three key steps for the tracking filter are reviewed, i.e. the maneuvering modeling, the nonlinear filter algorithm and the measurement error detection and calibration. Furthermore, designing method for real-time tracking system is discussed according to the deficiencies of those existing systems. The method is aim to established an efficiently integrate data processing flow, and achieve an effective fusion of all available system information by hydride fusion strategies. Many actual tracking filter systems can draw lessons from here. Finally, the possible future researches for real-time trajectory target tracking are also investigated according to the demand-pull space applications.