基于无味高斯粒子滤波的空-海BO—TMA的研究

介绍了粒子滤波（PF）的基本思想和免重采样无味高斯PF（UGPF）算法的基本原理，特别针对空-海单站只测方位目标运动分析TMA（BO—TMA）问题应用UGPF和EKF（扩展卡尔曼滤波）进行了对照研究，建立了问题的离散非线性滤波估计模副，设计了典型的应用场景，给出了Monte Cado仿真运行结果；表明UGPF具有更高的估计精度、更好的收敛特性和滤波一致性。

Study on Air-to-sea Bearing-only TMA by Unscented Gausian Particle Filtering

The particle filtering(PF) and unscented Gaussian PF(UGPF) are introduced,including their design consideration and elements of algorithms.Particular attention is paid to the problem of single observer air-to-sea bearing-only target motion analysis(BO-TMA).The discrete-time models are formulated pertinent to the nonlinear filtering problem and a typical scenario is depicted.The contrast results of Monte Carlo simulations between the UGPF and EKF(extended Kalman filtering) demonstrated that UGPF is more feasible to the air-to-sea BO-TMA by virtue of its favorable consistency with higher accuracy and better convergence.