多传感器数据融合的权值因子确定

对多传感器位置级的数据融合，从静态单传感器的特点入手，建立可靠的数据评价函数，引入到动态多传感器系统中，以多传感器测量数据的算术平均值或滤波对目标的状态估计值作为评价参考，从而量化对测量数据的评价，进而确定加权因子，得到融合值。从仿真结果来看，当评价函数确立合理、参考点选用得当时，融合数据能够很好地剔除假数据，减小偏差大的测量值的影响，在采用不够准确的参考点时，使用评价函数确定加权因子得到的融合数据仍能够优于算术平均值方法得到的数据。

Method of Obtaining Weighting Factors in Multi-sensor Data Fusion

For multi-sensor data fusion in positio n level, a model built in the static state is introduced into a dynamic multi-sen sor system. The arithmetic average and the state estimation are also introduced as reference parameters to obtain the weighted average. From the simulation, we get to know that if a proper curve is chosen, the result will be excellent. And the result is better than the arithmetic average by using a parabola as the mode l even if an improper reference parameter is chosen.