一种改进的机动辐射源单站无源跟踪变维滤波算法

A Modified Variable Dimension Filtering Algorithm for Maneuvering Emitter Tracking by a Single Passive Observering Station

针对机动辐射源的单站无源跟踪问题,提出了一种利用多普勒频率变化率和角度测量,结合匀速(CV)模型和S inger模型对机动辐射源进行跟踪的改进变维滤波(VDF)自适应算法。在该方法中引入了模型最短生存期概念,即利用模型最短生存期和机动检测结果联合控制VDF模型切换,改善VDF的滤波性能。对改进VDF方法和交互多模型(IMM)方法进行了仿真比较,结果表明,改进VDF方法减小了运算量,能够得到与IMM方法相当甚至更好的跟踪效果。

A modified variable dimension filter （VDF） algorithm is proposed for maneuvering target tracking by a single passive observering station. The constant velocity（CV） model and the Singer model are used to describe the emitter with or without maneuver respectively, and the Doppler frequency changing rate and angle are used as measurements. Minimum model life length concept is introduced, and used together with the maneuver detection result to control model switch. Computer simulations are conducted to compare the modified VDF algorithm with the interacting multiple model （IMM） algorithm. Simulation results show that the new method, compared with IMM algorithm, is more computational efficient, and can provide equivalent or better tracking precision.