期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

基于室内外定位的校园LBS系统设计与实现 被引量：5

Design and Implementation of Campus LBS System Based on Indoor-Outdoor Positioning
下载PDF
导出
摘要 为了解决目前智能手机中位置服务LBS(Location Based Service)类移动应用在小环境区域不能准确提供位置服务的问题,以校园为例提出了一种基于室内外定位的LBS系统设计方案。首先介绍系统结构设计,然后详细分析了Mobile GIS、GPS、基于Wi Fi信号强度值的位置指纹定位算法等系统设计中的关键技术,最后测试验证系统的各个功能模块。测试结果表明,系统可以实现终端定位、室内位置服务、校园导航、地图服务等功能,且操作便捷,具备可行性和实用性。 This study addresses the dislocation of the current application software of the intelligent mobile phone location based service（ Location Based Service,LBS）,a design solution of campus LBS system is introduced based on indoor-outdoor positioning. First,the architecture of the system is introduced. Then the key technologies such as Mobile GIS,GPS and the RSSI fingerprint positioning strategy in system design are analyzed elaborately. At last the function modules of system are tested and verified. Test results show that the system can realize some functions of terminal positioning,service based on indoor positioning,campus navigation,map service and so on. It occupies features of convenience,feasibility and practicality.
作者 于睿 陆南 张好好 朱静娴
机构地区 江苏科技大学电子信息学院
出处 《电子器件》 CAS 北大核心 2015年第2期463-468,共6页 Chinese Journal of Electron Devices
关键词 位置服务 ANDROID 室内外定位 MOBILE GIS location based service Android indoor-outdoor positioning mobile GIS
分类号 TN964 [电子电信—信号与信息处理]
  • 相关文献

参考文献6

二级参考文献176

  • 1王峰,游志胜,曼丽春,高燕,汤丽萍.Dijkstra及基于Dijkstra的前N条最短路径算法在智能交通系统中的应用[J].计算机应用研究,2006,23(9):203-205. 被引量：41
  • 2Fox V, Hightower location estimation Computing, 2003, J, Lin L, et al. Bayesian filters for [J]. IEEE Trans on Pervasive (3): 24-33.
  • 3Bahl P, Padmanabhan V N. RADAR: An in-building RF based user location and tracking system [C] //Proc of Int Conf on Mobile Computing and Networking. Piseataway, NJ: IEEE, 2007:775-784.
  • 4Roos T, Myllymaki P, Tirri H, et al. A probabilistic approach to WLAN user location estimation [J]. Internation Journal Wireless Information Networks, 2002, 9(3): 155- 164.
  • 5Yin J, Yang Q, Ni L. Adaptive temporal radio maps for indoor location estimation [C] //Proc of the 3rd IEEE Int Conf on Pervasive Computing and Communications. Piscataway, NJ: IEEE, 2005:85-94.
  • 6Yin J, Yang Q, Ni L. Learning adaptive temporal radio maps for signal strength based location estimation [J]. IEEE Trans on Mobile Computing, 2008, 7(7): 869-883.
  • 7Andreas H, Eliot F, Andrew M L. Practical robust localization over large scale 802. 11 wireless networks [C] // Proc of the 10th Annual Int Conf on Mobile Computing and Networking. New York: ACM, 2004:70-84.
  • 8Pan S J, Kwok J T, Yang Q, et al. Adaptive localization in a dynamic WiFi environment through multi-view learning [C] //Proc of the National Conf on Artificial Intelligence. Menlo Park, CA: AAAI, 2007:1108-1113.
  • 9Sun Zhuo, Chen Y Q, Qi J, et al. Adaptive localization through transfer learning in indoor Wi Fi environment [C] // Proc of the 7th Int Conf on Machine Learning and Applications. Piscataway, NJ: IEEE, 2008:331-336.
  • 10Zaruba G V, Huber M, Kamangar F A, et al. Indoor location tracking using RSSI readings from a single Wi Fi access point [J]. Wireless Network, 2007, 13(2) :221-235.

共引文献309

同被引文献24

引证文献5

二级引证文献13

电子器件
2015年 第2期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部