无源定位跟踪滤波算法研究及仿真分析  

Analysis and Simulation of Filter Algorithm for Passive Location and Tracking

作　　者：吴凤霞[1] 王明皓[2] 唐红[1] 

机构地区：[1]沈阳航空航天大学,辽宁沈阳110136 [2]沈阳飞机设计研究所,辽宁沈阳110035

出　　处：《飞机设计》2011年第3期44-46,54,共4页Aircraft Design

摘　　要：首先介绍了几种无源定位跟踪滤波算法原理,包括扩展卡尔曼滤波(EKF),无迹卡尔曼滤波器(EKF),交互多模型滤波器(IMM);然后通过建立几种不同模型来对每一种滤波算法进行仿真,依据仿真图形和误差结果对滤波算法进行分析,从而实现不同滤波模型根据目标运动状态进行监视和切换,这对无源定位跟踪算法精度的提高和实际应用有很大的意义。This paper introduces some principles of passive location tracking filter,including the extended Kalman filter（EKF）,Unscented Kalman filter（UKF）,and interactive multiple model filter（IMM）.Each filtering algorithm is simulated through the establishment of several models,analysing the errors of simulation results,so the different Filtering model can monitor and switch under different sports states,which is a great effect for the passive locating and tracking algorithm in improving accurately and applicating actually.

关 键 词：无源定位 UKF EKF IMM 跟踪 

分 类 号：TN971.3[电子电信—信号与信息处理]