桂林电子科技大学学报Issue(6)：451-455,5.
卡尔曼滤波在最小判别搜索定位系统中的应用
Application of Kalman filter in discriminant minimization search location symtem
摘要
Abstract
In order to improve location accuracy and fast positioning of wireless mobile equipment in the indoor environment, discriminant minimization search localization method based on fingerprint location is used,discriminant functions are de-signed to extract the spatial correlation of signal patterns,then the fine modified Newton’s method is used to find the mobile station.Considering the large variance of user’s location change and the influence of environmental noise,Kalman filter is introduced to discriminat minimization search localization method to improve positioning accuracy.The simulation results show that discriminant minimization search localization method combined with Kalman filter can achieve high location accu-racy and fast positioning in the indoor environment.关键词
最小判别搜索/位置指纹/牛顿法/卡尔曼滤波Key words
discriminant minimization search/location fingerprint/Newton’s method/Kalman filter分类
信息技术与安全科学引用本文复制引用
朱云,王玫,王俊义..卡尔曼滤波在最小判别搜索定位系统中的应用[J].桂林电子科技大学学报,2014,(6):451-455,5.基金项目
国家自然科学基金(61172054,61261017) （61172054,61261017）
