Multisensor fuzzy stochastic fusion based on genetic algorithms

To establish a parallel fusion approach of processing high dimensional information, the model and criterion of multisensor fuzzy stochastic data fusion were presented. In order to design genetic algorithm fusion, the fusion parameter coding establishment of initial population and fitness function, and design of fuzzy logic controller for genetic operations and probability choice were completed. The architecture of parallel genetic evolution processor on the highly dimensional fusion was given. For a moving target with the deviation of 1.64(velocity) and 1.75(acceleration), the precision of fusion is 0.94 and 0.98 respectively. Simulation results have shown that the fusion approach can improve the reliability and decision precision effectively.