一种模糊自适应最小方差数据融合算法

A Fuzzy Adaptive Minimum Variance Data Fusion Algorithm

文中提出了一种基于模糊规则的噪声方差自适应算法,较大的提高了融合算法对测量噪声干扰的适应性和鲁棒性。该算法还具有计算简单,易于实现的优点。最后将该算法应用于主/被动雷达多传感器数据融合系统。仿真结果表明,这种算法融合精度高并对噪声干扰具有较强的鲁棒性。

The adaptability and robustness to measurement noise is significantly improved. In addition, the proposed algorithm is simple and easy to implementation, and then it is applied to active/passive radar data fusion system. The simulation results are given to show that the proposed algorithm has not only high precision but also strong robustness to noise disturbances.