Title :
Adaptive data fusion
Author_Institution :
Dept. of Electr. Eng., Wright State Univ., Dayton, OH, USA
Abstract :
An adaptive algorithm for multi-sensor/data fusion is developed. The algorithm can be employed in an uncertain sensed environment using imperfect sensors. Assuming little prior information about the sensed environment and the sensors, the algorithm adaptively adjusts the weights for the best fusion of inaccurate information provided by the multiple sensors. The algorithm is general, computationally efficient, and very suitable for dynamic sensor fusion. The effectiveness of the algorithm is demonstrated by an example
Keywords :
adaptive systems; signal processing; adaptive algorithm; adaptive data fusion; dynamic sensor fusion; multisensor fusion; signal processing; uncertain sensed environment; Communication networks; Covariance matrix; Distributed computing; Filtering; Kalman filters; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Uncertainty; Yield estimation;
Conference_Titel :
Systems, Man, and Cybernetics, 1991. 'Decision Aiding for Complex Systems, Conference Proceedings., 1991 IEEE International Conference on
Conference_Location :
Charlottesville, VA
Print_ISBN :
0-7803-0233-8
DOI :
10.1109/ICSMC.1991.169779