基于平方根UKF的机载单站无源定位跟踪算法  

Square-root UKF Algorithm for Single Airborne Observer Passive Location and Tracking

作　　者：司记伟[1] 潘莉莉[1] 刘嗥[1] 

机构地区：[1]海军航空工程学院科研部,烟台264001

出　　处：《舰船电子工程》2011年第2期50-52,共3页Ship Electronic Engineering

摘　　要：针对只测角机载无源定位跟踪具有收敛速度慢及定位误差大的缺点,在只测角定位跟踪模型中加入相位差变化率信息并在此基础上引入平方根不敏卡尔曼滤波(UKF)算法来实现定位与跟踪。仿真结果表明增加相位差信息能够改善定位性能,平方根UKF算法具有比EKF算更快的收敛速度和更高的收敛精度,实用性强。In order to solve problems of low convergence speed and large location error for airborne angle-only passive location and tracking, the phase difference changing rate is added to the angle-only location model. An square-root unscented Kalman filter（UNF） algorithm is introduced to realize location and tracking. Simulation results indicate that the location performance has been improved significantly with the information of phase difference changing rate added to the angle-only location model and the UKF algorithm has higher precision and faster convergence than the EKF algorithm.

关 键 词：无源定位 只测角 相位差变化率 不敏卡尔曼滤波 扩展卡尔曼滤波 

分 类 号：TN953[电子电信—信号与信息处理]