现代电子技术2016，Vol.39Issue(13)：1-5,5.DOI:10.16652/j.issn.1004-373x.2016.13.001
联合TDOA改进算法和卡尔曼滤波的UWB室内定位研究
Research on UWB indoor positioning in combination with TDOA improved algorithm and Kalman filtering
摘要
Abstract
With the presentation of ″Internet+″ and continuous development of Internet of Things technology,the scenes to locate the staff and goods are increasing. At the same time,the demands of emerging fields(such as security monitoring,aero⁃space,unmanned industrialization operation,seas exploration,digital tourism)for indoor positioning are growing. To satisfy dif⁃ferent requirements,various positioning technologies were developed by the academia and industry,but they have great dif⁃ferences in the aspects of positioning applicability,positioning accuracy,etc. In comparison with other positioning methods,the UWB(ultra wideband)positioning technology has the unique advantages in positioning accuracy,real⁃time performance and data scalability. In this paper,the algorithm based on TDOA (time difference of arrival) was improved to reduce the difficulty of clock synchronization,and in combination with Kalman filtering,the error interference in transmission process was eliminated. The method can make the indoor positioning more accurately.关键词
到达时间差/卡尔曼滤波/超宽带/室内定位Key words
TDOA/Kalman filtering/UWB/indoor positioning分类
信息技术与安全科学引用本文复制引用
张桀,沈重..联合TDOA改进算法和卡尔曼滤波的UWB室内定位研究[J].现代电子技术,2016,39(13):1-5,5.基金项目
国家自然科学基金资助项目 （）
