一种传递对准精度评估的平方根自适应滤波算法研究  

A Square-Root Adaptive Filtering Algorithm for Accuracy Estimation of Transfer Alignment

作　　者：王纪南[1,2] 解春明[1,3] 赵剡[1] 

机构地区：[1]北京航空航天大学,北京100191 [2]中国空空导弹研究院,河南洛阳471009 [3]桂林空军学院,广西桂林541003

出　　处：《电光与控制》2011年第4期6-9,共4页Electronics Optics & Control

基　　金：航空科学基金(20080818007)

摘　　要：在传递对准精度评估中,由于惯导系统模型参数与实际的物理过程存在偏差、系统量测噪声的特性不确定等因素,采用常规的卡尔曼滤波算法往往不能获得理想的滤波效果。为满足传递对准滤波估计的精度和稳定性要求,设计了一种新型平方根自适应滤波算法:即将简化的时变噪声统计估计器串联于平方根滤波过程的时间更新和量测更新之间,使平方根滤波与自适应滤波方法相结合,从而实现抑制滤波过程中的模型发散和计算发散的目的。仿真结果表明,该算法与传统Kalman滤波算法、简化Sage-Husa自适应算法相比,不仅增强了滤波的收敛能力,而且大大提高了估计精度,能够有效地适用于传递对准精度评估。Since the parameters of the Inertial Navigation System（INS） model usually have some deviations from the actual physical process,and the noise statistic characteristic is not exactly known,the normal Kalman filter may behave badly or diverge.For the purpose of estimating transfer alignment accuracy,a square-root adaptive filtering algorithm based on combination of square-root filtering and adaptive filtering algorithm was proposed to meet the estimating accuracy and stability demands.A simplified time-varying noise estimator was set between the time updating and measurement updating process of square-root filtering,which may restrict modeling divergence and computational divergence.Finally,the new algorithm was compared with typical Kalman filtering algorithm and simplified Sage-Husa adaptive algorithm.The digital simulation showed that the algorithm can not only strengthen the filtering convergence capability,but also improve the estimating accuracy,which can estimate the accuracy of transfer alignment efficiently.

关 键 词：机载战术武器 传递对准 精度评估 自适应滤波 平方根滤波 

分 类 号：V271.4[航空宇航科学与技术—飞行器设计] U666.1[交通运输工程—船舶及航道工程]