Multi-sensor Fuzzy Stochastic Fusion Based on Genetic Algorithms
To establish a parallel fusion approach of processing high dimensional information, the model and criterion of multi-sensor fuzzy stochastic data fusion were presented. In order to design genetic algorithm fusion l the fusion parameter coding ) initial population and fitness function establishing, and fuzzy logic controller designing for genetic operations and probability choosing were complete d. 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.
multi-sensor data fusion fuzzy random genetic algorithm
REN Ji-Xu SONG Jia-Cheng HAI Ji-Liu FENG Xiao-Yu
Electric Engineering Institute, Anhui Pronvince, china Hefei university of technology, Anhui Province, china
国际会议
2006 IEEE International Conference on Information Acquisition
山东威海
英文
589-594
2006-08-20（万方平台首次上网日期，不代表论文的发表时间）