噪声相关情况下的强跟踪滤波器在飞行器姿态确定中的应用

Strong Tracking Filter Based on Correlate Noise Applying to Aircraft Attitude Determination System

针对飞行器姿态估计系统问题,标准EKF存在不能克服测量噪声和过程噪声相关和抗干扰能力差的缺陷。为此,提出了一种噪声相关的强跟踪滤波器算法,该算法通过引入噪声相关矩阵和自适应因子来调整状态协方差矩阵和增益矩阵,可以较好地克服干扰和噪声相关的情况。通过实验仿真结果表明算法的有效性。

To tackle the problems in aircraft attitude estimation system,Extend Kalman Filter（EKF） does not have the ability to overcome the disturbance and correlative noise.Therefore,in order to obtain better estimation precision,a Strong Tracking Kalman algorithm based on correlative noise is proposed in this paper.The algorithm can overcome the disturbance by adopting an adaptive factor and noise correlation matrixes to adjust the state covariance matrix and gain matrix.The simulation results show the effectiveness of the proposed algorithm.