基于相对距离的一种多传感器数据融合方法

Method of multi-sensor data fusion based on relative distance

分析了多传感器量测数据不确定性产生的原因,提出了一种基于相对距离的多传感器数据融合方法。该方法利用模糊集合理论中隶属度函数的优点,通过挖掘量测数据间冗余和互补信息调整数据间的相互支持程度,进而合理地分配量测数据在融合过程中所占权重。同时,避免了关联门限的设定,从而降低了先验信息的影响,避免了量测数据间相互支持的绝对化。通过仿真实例,验证了该方法的有效性。

The cause of multi-sensor measurement data＇s uncertainty is analyzed, and a new method of multi- sensor data fusion based on relative distance is presented. The new method utilizes setting membership function of fuzzy set theory to dig the redundancy and complementary information, and adjusts the support degree to reasonably distribute the weight value of measure data. At the same time, the method also avoids the design of relation threshold and reduces the influence of prior information, then avoids the absoluteness of correlated support degree among measurement data. Finally, the simulation proves the validity of the method.