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

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.