基于平方根UKF的机载单站无源定位算法  

A passive location algorithm for the single airborne observer based on square root UKF

作　　者：周峰[1] 焦淑红[1] 

机构地区：[1]哈尔滨工程大学信息与通信工程学院,黑龙江哈尔滨150001

出　　处：《应用科技》2010年第11期40-44,共5页Applied Science and Technology

基　　金：973国家安全重大基础研究基金资助项目(61393010101-1)

摘　　要：介绍了基于多普勒频率变化率和波达角变化率的机载单站无源定位原理,并引入一种新的基于平方根(UKF)算法.通过仿真与扩展卡尔曼滤波(EKF)和不敏卡尔曼滤波(UKF)算法进行了比较.结果表明,新算法比EKF算法精度高,与UKF算法相比,新算法的方根形式增加了数字稳定性和状态协方差的半正定性,同时具有更快的收敛速度.This paper presents the theory of passive location for the single airborne observer using Doppler frequency changing rate and differential direction of arrival, and introduces the square root UKF （ unscented Kalman filter） algorithm. The square root UKF was compared with the EKF （extended Kalman filter） and UKF algorithms through simulation, and the results show that the estimation precision of the square root UKF is better than that of EKF, and compared with UKF, the square root form adds numerical stability and positive semi-definiteness of the state covariance, and in the meantime has faster convergence speed.

关 键 词：无源定位 机载 平方根UKF 非线性滤波 

分 类 号：TN958.97[电子电信—信号与信息处理]