不确定挠曲变形干扰下基于多模型滤波的传递对准方法

挠曲变形是影响传递对准精度的重要因素之一，在对准过程中载体的机动会引起挠曲变形模型较大的参数误差和系统模型噪声统计特性的不确定性，现有基于单一模型的滤波方法在解决这类问题时存在局限性。针对以上问题，提出了一种基于不确定挠曲变形参数变化模型集的多模型滤波对准方案，以“速度+姿态”的匹配模式为例进行仿真分析。结果表明，所提出的对准方法同基于单一模型的对准方法相比提高了对准精度和算法的环境适应性，是解决存在不确定挠曲变形干扰下的传递对准问题的一种有效方法。

Transfer alignment method under uncertain flexure deformation based on multiple model filtering

Flexure deformation is a main factor which affects the accuracy of transfer alignment. Some uncertain factors such as undetermined maneuvers of the carrier can cause transfer alignment filtering model statistical characteristics uncertainty as well as deformation model parameter error, however, present filtering methods have many limitations on solving this problem. According to the above questions, a new alignment method using multiple-model Kalman filtering technique is proposed. Velocity plus attitude matching transfer alignment is applied as the validation verification of this method. Simulation results show that comparing with the alignment based on single model, the proposed alignment method has higher accuracy and adaptability of disturbance environment, so it has validity in solving the problem of transfer alignment with uncertain flexure deformation disturbance.