多平台对单目标的被动跟踪系统研究

Research into Passive Tracking System of Multi-platform to Single Target

由于多平台对单目标的被动系统具有隐蔽性强、实时性好等优点,因此近年来成为电子战领域研究的热点之一。针对多平台观测下的单目标被动跟踪系统进行了研究,首先提出2种跟踪系统结构:一是基于最小二乘(LS)和线性卡尔曼滤波(KF)相结合的伪线性模型系统,二是基于扩展卡尔曼滤波(EKF)并行滤波技术的非线性跟踪系统;其次分别给出具体设计步骤,并在计算机上进行仿真验证。仿真结果表明,基于EKF的非线性并行滤波技术对目标跟踪精度较高。

Since the passive system of multi-platform to single target has the advantages of strong concealment, good real-time and so on,it becomes one of research hotspots in electronic warfare do- main. This paper mainly researches passive tracking system of multiple platforms to single target, firstly presents two tracking system architectures.one is pseudo-linear model system based on least squares （LS） and linear Kalman filtering （KF） the other is nonlinear tracking system based on extended Kalman filtering （EKF） parallel filtering technique secondly gives specific design steps sep- arately and performs simulation validation in computer. The simulation results show that it has higher precision to use the nonlinear parallel filtering techniques based on EKF for target tracking.