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。
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 algorithms, the algorithm has fast convergence rate and good stability.
出处
《现代电子技术》
2011年第21期6-8,共3页
Modern Electronics Technique
