固定站无源目标跟踪简化UKF算法仿真研究  

Research on Simplified UKF Algorithm for Fixed Observer Passive Tracking

作　　者：曲长文[1,2] 徐征[2] 李炳荣[2] 苏峰[2] 

机构地区：[1]航空电子系统综合技术重点实验室,上海200233 [2]海军航空工程学院电子信息工程系,烟台264001

出　　处：《系统仿真学报》2012年第8期1655-1659,1664,共6页Journal of System Simulation

基　　金：航空科学基金(20105584004)

摘　　要：与EKF类算法相比,基于不敏变换(UT)的不敏卡尔曼滤波(UKF)算法因为不存在线性化误差从而具有更好的性能,不过存在运算量较大的问题。建立了具有线性状态方程的固定单站无源目标跟踪模型,以此为研究背景在满足L+λa=nx+λ=常数的情况下由扩维UKF算法推导出了简化UKF算法并进行了仿真分析。仿真结果表明在满足推导条件时简化UKF算法可以在降低运算量的同时保持和扩维UKF同样的定位性能,具有较强的实用性。The unscented transform （UT） based unscented Kalman filter （UKF） algorithm has better performance compared with the EKF algorithm because it doesn＇t exist linearization error while suffering a computation problem. Considering the single non-moving observer passive location and tracking system with a linear process equation as research ground, the simplified UKF algorithm was derived from the augmented UKF under the condition of L＋λa=nx＋λ=constant and the performance analysis was made. Simulation results indicate that the simplified UKF algorithm can keep the same performance as the augmented UKF algorithm while reducing the computation.

关 键 词：无源跟踪 不敏变换 扩维UKF 简化UKF 仿真 

分 类 号：TN958.97[电子电信—信号与信息处理]