基于不确定度评定的组合导航稳健加权融合算法研究  

A Robust Weighted Data Fusion Algorithm Research for Multi Sensors Based on Uncertainty Evaluation

作　　者：潘爽[1] 马林立[1] 徐彬[1] 

机构地区：[1]海军潜艇学院,山东青岛266071

出　　处：《弹箭与制导学报》2007年第2期110-112,共3页Journal of Projectiles,Rockets,Missiles and Guidance

摘　　要：针对卫星导航系统在实际测量中存在大量野值的情况,利用M估计计算各系统污染分布统计特性,应用不确定度评定分配权值并进行融合。通过实例分析该法在模型及算法选择上均具有优越性。Aiming at the condition of the function of error measurement fitted the contaminated distribution, using the ro- bust character of M-estimate to reckon unknown parameter and to distribute weight value according to computed uncertainty of each sensor. Simulation results prove that this algorithm has advantages on model and algorithm selection.

关 键 词：数据融合 M估计 不确定度 加权值 

分 类 号：TJ765.3[兵器科学与技术—武器系统与运用工程]