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基于无线定位的个性化导览关键技术及其在博物馆中的应用 被引量：4

Wireless personalized navigation technology for museums
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摘要 提出一种基于Wi Fi无线定位网络的能够满足相关应用精度需求的室内导览方法。该方法使用智能手机自身处理能力实时进行信号强度概率分布以及位置指纹匹配计算,使用基于动态权值的方法来对室内环境进行建模,引入加权线性公式组合推荐算法实现基于优化A*算法的路线规划;同时给出了该方法应用于构建博物馆个性化导览系统的应用示例。实验结果表明该方法具有较高的定位精度和推荐准确率。所提室内导览方法具有通用性好和组网成本低的特点,能够较好地满足博物馆等室内导览系统应用需求,具备进一步进行商业化应用的潜力。 This paper proposed a generic personalized indoor navigation schema based on Wi Fi network. The method implemented the localization process by using the fingerprint technology based on the probability distribution of the received signal strength（ RSS）. It adopted a novel modeling method that treated the indoor environment as a set of grids. Each grid contained multi-weight values that were given dynamically according to the interaction process. It used optimized A star algorithm for path planning with the hybrid personalized recommendation system. The system implemented a testing mobile App for Android with the features of indoor positioning,navigation and social components. The experimental evaluation presents a fine recommendation effectiveness and a high positioning accuracy,which can satisfy the requirements of personalized indoor navigation applications.
作者 王辰 刘宇驰 金舟
机构地区 天津大学计算机科学与技术学院 湖南省博物馆
出处 《计算机应用研究》 CSCD 北大核心 2016年第5期1419-1423,共5页 Application Research of Computers
基金 国家自然科学基金资助项目(61272266) 国家文物局文物保护科学与技术研究课题(20120220)
关键词 室内定位 位置指纹 个性化推荐 indoor localization location fingerprint personalized recommendation
分类号 TP399 [自动化与计算机技术—计算机应用技术]
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参考文献18

  • 1Wang Yapeng, Yang Xu, Zhao Yutian, et al. Bluetooth positioning using RSSI and triangulation methods [ C ]//Proc of Consumer Com-munications and Networking Conference. 2013: 837-842.
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二级参考文献10

  • 1陈维克,李文锋,首珩,袁兵.基于RSSI的无线传感器网络加权质心定位算法[J].武汉理工大学学报（交通科学与工程版）,2006,30(2):265-268. 被引量：207
  • 2刘克中,王殊,胡富平,许昌春.无线传感器网络中一种改进DV-Hop节点定位方法[J].信息与控制,2006,35(6):787-792. 被引量：32
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  • 10NICOLESCU D,NATH B.Ad-hoc positioning systerns (APS)[C] // Proceedings of 2001 IEEE Global Telecommunications Conference.New York,USA:IEEE Communications Society,2001:2926-2931.

共引文献41

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二级引证文献9

计算机应用研究
2016年 第5期

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