The Kalman Filter Method for Indoor Moving Object Database Update

摘要：

This paper proposes a strategy for updating a MODB (Moving Object Database).The strategy estimates the state of the mobile terminal by applying the Kalman filter on a series of measured positions.A state of a mobile terminal includes the position and the velocity of the terminal.Using the velocity,our strategy extrapolates the position of the terminal.If the difference between the extrapolated position and the measured position is less than the threshold then our strategy skips updating the MODB.In order to verify the efficiency of our strategy,we performed experiments of applying our strategy on the series of measured positions obtained by applying the decision-tree-based indoor positioning method while we are actually walking through the test bed.An analysis of the experimental results is also discussed.

作者: Yim,Jaegeo Joo,Jaehun

作者单位: Department of Computer Science,Dongguk University,Gyeongju-si,Gyeongsangbuk-do 780-714,South Korea Department of Electronic Commerce,Dongguk University,Gyeongju-si,Gyeongsangbuk-do 780-714,South Kore

会议类型: 国际会议

会议名称: PAN-PACIFIC CONFERENCE XXVI(“战略创新、协作融合泛太平洋管理学会第26届年会)

会议地点: 深圳

会议语种:英文

页码: 233-235

在线出版日期: 2009-06-01（万方平台首次上网日期，不代表论文的发表时间）