基于空域和时域信息的交互多模优化跟踪算法

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...

Interacting Multiple Model Optimality Tracking Algorithm Based on Spatial and Temporal Information

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.