To address the aircraft attitude estimation problem, Unscented Kalman Filter ( UKF) does not have the ability to over-come 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.%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。
展开▼
