摘要
针对观测方程为非线性,状态方程为线性,且噪声为加性情况下的机动目标跟踪问题,应用RaoBlackwellised UKF(RBUKF)算法滤波并对其进行了防发散处理,得到机动目标跟踪的一种基于防发散RBUKF(AD-RBUKF)算法。对二维机动目标跟踪的仿真结果显示,本算法的跟踪效果明显优于其它两种常用的非线性滤波方法——基本的UKF算法和SPPF算法,仿真结果表明该算法是一种跟踪精度高,且适合工程应用的非线性滤波方法。
Devoted to the problem of maneuvering target tracking under nonlinear observation,linear state and added noise,a kind of algorithm based on anti-divergent RBUKF（ AD-RBUKF） of maneuvering target tracking is developed,which uses Rao-Blackwellised UKF（ RBUKF） for filter and anti-divergent work.Two-dimensional maneuvering target tracking simulation results show that,the tracking effect of this algorithm is clearly better than the other two commonly used nonlinear filtering method of the basic UKF algorithm and the SPPF algorithm.And the simulation results show that this algorithm is of high tracking accuracy,and it is suitable for nonlinear filtering method for engineering application.
出处
《指挥控制与仿真》
2017年第1期41-43,共3页
Command Control & Simulation
