摘要
机动目标跟踪所遇到的基本问题是所建目标模型的动力学方程与目标的实际运动模型存在着不匹配.为了解决这一问题,提出了基于辐射源信号的方位角及时间差信息的交互多模IMM滤波算法.这种算法是一种最佳的合成滤波器,它的主要特点是具有用几个模型估计系统状态的能力,而这些模型可以相互转换,这种方法能更好地解决对机动辐射源的无源定位跟踪滤波问题.仿真结果表明,应用IMM算法跟踪目标,跟踪的精度、平稳度以及算法的收敛速度等都得到了明显的改善,可以实现对复杂、快速机动目标的全过程跟踪.
The most important problem in maneuvering target tracking is the mismatching between the targets＇ moving models and the equations built to describe the target mobility.This paper tries to solve this problem with interacting multiple model（IMM） algorithm which is based on azimuth angle and time difference of arrival information of the moving emitter.The IMM estimator is a suboptimal hybrid filter,the main feature of which is its ability to estimate the state of a dynamic system with several behavior models which can switch from one to another.This method can solve the problem of passive location of maneuvering target better.Simulation results indicate that IMM algorithm has higher precision,better stability and faster convergence speed than any other conventional algorithms in application of maneuvering target tracking.It may be used to implement the tracking for the complexly and highly maneuvering target.
出处
《河南师范大学学报（自然科学版）》
CAS
CSCD
北大核心
2011年第1期41-44,共4页
Journal of Henan Normal University(Natural Science Edition)
基金
总装备部基金资助项目(5140104C703CB0102)
关键词
无源定位
交互多模
位角
到达时间差
目标运动模型
passive location
IMM
azimuth angle
time difference of arrival
model of object＇s movements
