Consensus Multisensor Data Fusion Algorithm Based on Dynamic Hierarchical Clustering Analysis

Abstract

To improve the precision of consensus multi-sensor data fusion method, the reliability of sensor data must be considered. The shortcomings of the existing consensus multi-sensor data fusion algorithms, such as asymmetry of distance matrix, and the subjectivity of the threshold determination of connection matrix were discussed, and a new confidence distance was defined. A new consensus multi-sensor data fusion algorithm based on dynamic hierarchical clustering was proposed. The results of simulation experiments show that this method is better than the existing methods.