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自适应渐消UKF算法及其在仅测角被动定位中的应用
引用本文:刘洋,冯道旺,郭福成.自适应渐消UKF算法及其在仅测角被动定位中的应用[J].现代电子技术,2011(21):6-8.
作者姓名:刘洋  冯道旺  郭福成
作者单位:国防科学技术大学电子科学与工程学院;
摘    要:针对仅测角被动定位受多径、镜像和干扰源影响,噪声无法准确建模,传统EKF及其改进滤波算法容易发散的问题,将自适应渐消因子引入UKF算法中,调整滤波增益以及状态误差协方差矩阵,提出一种自适应渐消UKF算法,给出了具体的计算流程。仿真了不同雷达诱饵布置干扰下滤波算法的稳定性。仿真结果表明,与传统的EKF以及自适应渐消EKF算法相比,该算法收敛速度更快,稳定性更好。

关 键 词:自适应渐消UKF算法  抗干扰  仅测角定位  EKF

Adaptive Fading UKF Algorithm and Its Application in Bearings-only Passive Location
LIU Yang,FENG Dao-wang,GUO Fu-cheng.Adaptive Fading UKF Algorithm and Its Application in Bearings-only Passive Location[J].Modern Electronic Technique,2011(21):6-8.
Authors:LIU Yang  FENG Dao-wang  GUO Fu-cheng
Affiliation:LIU Yang,FENG Dao-wang,GUO Fu-cheng(School of Electronic Science and Engineering,National University of Defense Technology,Changsha 410073,China)
Abstract:Bearings-only passive location is influenced by multipath,image and interference resource,noise is not a constant model,and traditional EKF and its improved algorithms have divergent problems.For above problems,an adaptive fading UKF algorithm is introduced,which introduced an adaptive fading theory into UFK algorithm and adjusted state noise covariance matrix and filter gain.The stability of filtering algorithm under different conditions of radar decoy interference is simulated.Compared with traditional al...
Keywords:adaptive fading UKF  anti-jamming  bearings-only location  EKF  
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