Why Are More Sensors Better in Estimation Fusion?

摘要：

In multisensor estimation fusion, it is widely accepted intuitively that the fused estimation performance of multiple sensors is better than that of any single one, and the more sensors are used, the better the fused estimation performance. Also it is verified by Monte-Carlo simulations in many existing literatures that the above conclusions are true. This is due to the increase in information as more sensors are used. In this paper, for two typical centralized and distributed fusion schemes, we prove that the above conclusions are true and point out clearly how the information is increased as more sensors are used.

关键词： Estimation fusion centralized fusion distributed fusion multiple sensors correlated measurement noise

作者: Zhansheng Duan X.Rong Li Ming Yang

作者单位: Department of Electrical Engineering University of New Orleans New Orleans, LA, U.S.A.

会议类型: 国际会议

会议名称: The International Colloquium on Onformation Fusion 2007(2007年国际信息融合研讨会)

会议地点: 西安

会议语种:英文

页码: 191-197

在线出版日期: 2007-08-22（万方平台首次上网日期，不代表论文的发表时间）