A Multi-sensor Data Fusion Method Based on the Set-Pair Identity Degree and Connection Number

To solve the difficulty of determining the reliability of each sensor and fusing data measured by different sensors, a multi-sensor data fusion method based on the set-pair identity degree function and connection number is proposed. The mutual supportability of multiple sensors is obtained from the identity degree function. Then the identity degree of observation data and sensor characteristic function is computed. Finally, the supposed fusion result of the object attribute from the multiple sensors could be produced on the minimum maximum basis. This method needn´t assume that the sensor characteristic function obeys Guass distribution. The simulation experiment shows that it can identify the target objectively. Thus it is a new method for multi-sensor data fusion.