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。

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.

TN911.72