Multi-sensor Data Fusion Based on Correlation Function and Fuzzy Clingy Degree
Xiaoguang Yuan · Journal of Projectiles.Rockets.Missiles and Guidance · 2009
Focused on the problem that it is difficult to determine the reliability of each sensor and improve precision of the data fusion result in the process of the multi-sensors data fusion.In the paper,a new data fusion method based on correlation function and fuzzy clingy degree is proposed.The mutual supportability of multiple sensors is obtained from the correlation function.Then by the membership function,the reliability of information provide by each sensor is gained.Finally,the supposed fusion result can be produced on the basis of fuzzy clingy degree.The simulation experiment shows that the fusion results have higher precision and reliability compared with other methods.