一种基于信息融合的天线罩误差斜率估计方法

A Radome Error Slope Estimation Method based on Information Fusion

针对雷达制导过程中导引头天线罩斜率的在线估计问题,提出一种基于信息融合的在线估计方法。该方法通过设计局部滤波和全局融合算法,构造一种具有“融合-重置”结构的在线估计框架,有效提高了估计精度和容错能力。首先基于现有在线估计算法,构造具有多个并行运行子滤波器的局部滤波框架;然后根据各子滤波器的估计均值和协方差,构造全局融合性能指标,基于多种信息融合算法对天线罩斜率进行全局估计;最后利用全局滤波结果对局部滤波器进行反馈重置。仿真结果表明,信息融合方法可以有效提高天线罩斜率的估计精度,降低天线罩误差对制导回路的影响,提高导弹的制导精度。

Aiming at on-line estimation problem of seeker radome slope in missile guidance,a novel on-line esti-mation method based on information fusion is proposed:by designing local filtering and global fusion algorithm.This method constructs an online estimation framework called“fusion reset”structure,which effectively improves the estimation accuracy and fault tolerance.Firstly,based on the existing online estimation algorithms,a local filtering module including multiple parallel sub-filters is constructed.Then,based on the estimated means and covariances of each local filters,the global fusion criterion are formulated.Therefore,the global radome slope is estimated based on a variety of information fusion algorithms.Finally,the global filtering result is used to reset the local filters.The simulation results show that the information fusion method can effectively improve the estimation accuracy of radome slope,reduce the influence of radome error on guidance loop,and improve the guidance accuracy of missile.