Multi-sensor Data Fusion Method Based on Belief Degree and Neural Network

摘要：

Focusing on the uncertainty of data in information gathering system, a multi-sensor data fusion method based on belief degree and neural network is proposed. A fuzzy-index belief degree function is defined to quantify the belief degree between data measured by two sensors, which are combined with the measured data as the input of the neural network.. Through the network training, the data fusion of multi-sensor is realized. Applying the proposed method to the data fusion in soil moisture content, it is demonstrated that this method, which not only can reach higher fusion precision than traditional methods, but also has excellent restraint ability against disturbance.

关键词： Multi-sensor Data fusion Belief degree function BP neural network

作者: Yulin Zhang Baoguo Xu Peiyi Zhu

作者单位: Faculty of Electronic and Electrical Engineering Huaiyin Institute of Technology School of Communication and Control Engineering, Jiangnan University School of Electrical & Automatic Engineering,Changshu Institute of Technology

会议类型: 国际会议

会议名称: 2010 International Conference on Information Technology and Industrial Engineering(2010年信息技术与工业工程国际学术会议 ITIE 2010)

会议地点: 武汉

会议语种:英文

页码: 1084-1087

在线出版日期: 2010-06-06（万方平台首次上网日期，不代表论文的发表时间）