基于统计加权的单传感器数据融合算法

单传感器数据融合是十分重要的实际问题。为了提高数据处理的敏感性和精度,在研究基于关系矩阵的数据融合方法的基础上,提出了基于统计加权的数据融合方法,并对两种方法进行了对比分析。实例仿真表明,基于统计加权的数据融合方法优于基于关系矩阵的数据融合方法,该方法能减小无效测量值的范围,并且对测量值的变化更敏感。

Single Sensor Data Fusion Method Based on Statistical Weighting

It is important to the question of a single sensor data fusion. For improvingsensitivity and accuracy of data fusion,this paper which has studied the data fusion method based on relational matrix presents a data fusion method based on statistical weighting and compares between two methods. The simulation results show that the data fusion method based on statistical weighting is better than which based on relational matrix. The method can reduce the range of invalid measured values,and is more sensitive to the measured value changes.