Multisensor Fuzzy Stochastic Fusion Based on Genetic Algorithms

摘要

To establish a parallel fusion approach of processing high dimensional information, the model and criteria of multisensor fuzzy stochastic data fusion were presented. In order to design genetic algorithm fusion, the fusion parameter coding, initial population and fitness function establishing, and fuzzy logic controller designing for genetic operations and probability choosing were completed. The discussion on the highly dimensional fusion was given. For a moving target with the division of 1.64 (velocity) and 1.75 (acceleration), the precision of fusion is 0.94 and 0.98 respectively. The fusion approach can improve the reliability and decision precision effectively.