Title :
Multi-sensor Target Recognition Fusion Based on Fuzzy Theory
Author :
Han Feng ; Yang WanHai ; Guang, Xiao
Author_Institution :
Xidian Univ., Xi´´an
fDate :
Aug. 16 2007-July 18 2007
Abstract :
In the process of the multi-sensors target recognition fusion, focused on the problem that it is difficult to determine the reliability of each sensor and how the data measured by different sensors are fused, a multi-sensor target recognition fusion method based on fuzzy theory 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 of multi-sensors target recognition can be produced on the basis of fuzzy integration function. The method is simple computationally and can objectively reflect the reliability of each sensor and interrelationship between these sensors. By applying the method to the target recognition, the simulation experiment shows that it can identify the target accurately and is an effective and feasible multi-sensors target recognition fusion method.
Keywords :
fuzzy set theory; pattern recognition; sensor fusion; fuzzy integration function; fuzzy theory; membership function; multi-sensor target recognition fusion; sensor reliability; Computational modeling; Data engineering; Fuzzy systems; Instruments; Reliability engineering; Reliability theory; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Target recognition; correlation function; fusion; fuzzy integration function; multi-sensor; target recognition;
Conference_Titel :
Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-1136-8
Electronic_ISBN :
978-1-4244-1136-8
DOI :
10.1109/ICEMI.2007.4351225