摘要
针对飞行器姿态估计系统问题,UKF存在抗干扰能力差的缺陷,提出一种改进的自适应UKF。该算法通过引入自适应因子来调整状态增益矩阵,可以较好地克服干扰。实验仿真结果表明了本文提出的算法的有效性。
To address the aircraft attitude estimation problem,Unscented Kalman Filter（ UKF） does not have the ability to overcome the disturbance. In order to obtain better estimation precision,an adaptive UKF is proposed. The algorithm can overcome the disturbance by introducing an adaptive factor to adjust the state gain matrix. The simulation results show the effectiveness of the proposed algorithm.
出处
《计算机与现代化》
2015年第3期62-64,70,共4页
Computer and Modernization
基金
河南省科技攻关基金资助项目(122102210258)
关键词
飞行器姿态估计
UKF
自适应
估计精度
aircraft attitude estimation
UKF
adaptive
estimation accuracy
