摘要
介绍几何定位过程,并对其定位误差进行仿真分析。针对几何定位误差很大且与下视角大小密切相关的问题,采用扩展卡尔曼滤波算法(EKF)抑制测量噪声的影响,提高飞行器的定位精度。建立飞行器运动的状态空间模型,针对测量方程的非线性特点,对其进行线性化处理。在此基础上,采用EKF算法实时估计飞行器的空间位置坐标;通过数字仿真对滤波算法的定位效果进行检验;对影响滤波算法定位精度的因素进行分析并对不同飞行高度下的定位误差进行数字仿真。结果表明,算法收敛速度快,定位精度高,可显著减小测量噪声的影响,具有一定的工程应用价值。
Geometry location process is introduced and the error of geometry location is analyzed according to the simulation. To deal with the problem that geometry location with a big error is closely associated with the magnitude of pitch line of sight, extended Kalman filter algorithm （EKF） is utilized to restrain the effect of measure noise and the location precision of aircraft is improved. State-space model of aircraft movement is established and linearization process is carried as the observation equation has a nonlinear characteristic. On this basis,EKF algorithm is adopted to estimate the space position coordinate of aircraft. The factors that affect the position precision of filter algorithm are analyzed and some simulations among different flight height have been done. The simulation results demonstrate that the proposed algorithm has a fast convergence velocity and has a high position precision and the effect of the measure noise is reduced. So the algorithm has a certain engineering application value.
出处
《舰船科学技术》
北大核心
2013年第5期48-52,共5页
Ship Science and Technology
