一种回溯算法结合数据时序重构融合滤波的初始对准方法

An Initial Alignment Method Using Backtracking Algorithm Combined with Data Sequence Reconstruction Fusion Filtering

为了在提高鱼雷初始对准精度的同时保证较短的对准时间,文中在采用回溯算法进行初始对准的基础上,通过对存储数据的调用及线下处理,提出一种数据时序重构融合滤波算法,通过对存储数据进行再次调用、整体辨识、特征量提取和时序重构,构建多级滤波器,与传统“正向—逆向—正向”滤波回溯算法比较,实现了一定时间内滤波估计及对准精度的进一步提高。实航数据的仿真对比试验证明了该方法在精度及时间上的有效性。

In order to improve the initial alignment accuracy of torpedo and ensure shorter alignment time,on the basis of applying the backtracking algorithm to the initial alignment,a data sequence reconstruction fusion filtering method is proposed by calling and offline-processing the stored data.The proposed method can further improve the filtering estimation and alignment accuracy within a certain time compared with the traditional“forward-backward-forward”filtering backtracking algorithm by re-calling of the stored data,overall identification,feature extraction,time sequence reconstruction,and construction of a multi-stage filter.Comparison between simulation results and sea trial data proves the effectiveness of the proposed method in accuracy and time.