基于ZigBee技术的室内定位系统设计
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摘要
随着人们生活质量的不断提高,室内物品以及人员的位置感知计算、基于位置的服务显得越来越重要。典型的例子有资源查找、参观导航、会议指南、寻找老人儿童、节能控制、设备资产管理等。而如何确定室内物品以及人员的位置是实现基于位置服务的核心问题。针对现有室内定位系统存在的问题,本文提出并设计了一种基于ZigBee技术的室内定位系统。设计的系统达到了预期的要求,系统的定位精度可以满足室内人员等移动目标的定位应用。该系统具有低成本、低功耗、低复杂度、较高的定位精度、方便部署和拆除等诸多优点。
     本论文主要的研究内容和成果:
     1、对现有的室内定位系统进行分析,总结现有的室内定位系统的优点和存在的不足。本文侧重于研究定位系统的实现以及系统的定位精度、系统成本、低功耗、定位速度等,而定位系统的人机界面等不做过多研究。
     2、研究ZigBee网络的拓扑结构、网络层协议对定位系统的性能的影响。从定位系统的延时和功耗角度出发设计了树状结构的网络拓扑结构,从系统的可靠性角度出发提出了一种有助于改善ZigBee网络健壮性的“乒乓机制”。
     3、针对RSS具有随机性的特点,提出了基于概率统计原理的RSS样本数据预处理的方法,实验表明使用该方法可以提高系统的定位准确度和精度。
     4、提出定位系统的总体设计方案,按照系统的设计目标设计并实现定位系统的硬件系统和软件系统。
     5、设计室内定位系统实验测试环境,对本系统在测试场所进行实地测试,并且对实验结果从定位精确度、系统实时性、系统可用性等方便进行分析和总结,对后期的工作提出进一步的打算。
Services based on location are becoming more and more important. The typical applications include Resource Retrieval, Visitor Navigation, and Conference Guidance, Searching for the elderly and children, Equipment & Asset Management, and Medical Rescuing and so on. The key question of services based on location is how to compute the indoor goods’or people’s location. To improve the current indoor positioning system , this article proposed and designed an indoor positioning system based on ZigBee technology. This system is featured with low cost, low power, low complexity, high precision, and many other merits. In this paper, the main research content includes:
     1. In this paper, current indoor positioning systems are analyzed, and their advantages and problems are summarized. Then, this paper designed and implemented one of this improved system.
     2. Fingerprint Location Algorithm is improved, and Centroid aided localization algorithm is proposed. Moreover, probability based RSSI data preprocessing method is proposed, and experiment result shows that this method improved the positioning precision.
     3. ZigBee topological structure is researched; impacts of network layer protocols on positioning performance are analyzed. This paper proposed one method that improves ZigBee network robustness and time delay by using tree topological structure and algorithm named Ping Pang.
     4. The framework of this system is designed, including software design and hardware design.
     5. Experimental environments are well designed, and experiments are conducted, the robustness, positioning precision, real-time quality, system feasibility, are analyzed. And future research work is planed.
引文
[1] Ming-Hui Jin, Chih-Hao Yu, Hung-Ren Lai, and Ming-Whei Feng. “ZigBee Positioning System for Smart Home Application”. Lecture Notes in Computer Science [J]. 2007 , Vol.4743:183-192.
    [2] 方群,袁建平,郑愕.《卫星定位与导航基础》[M] .西安:西北工业大学出版社,1999 年:2-3.
    [3] 雷建军.基于蜂窝网络的 AGPS 和 TDOA 混合定位技术研究[D].重庆邮电大学:重 庆邮电大学,2006 年.
    [4] 闫鹰.自动导航小车超声波定位方法的研究[D].西安理工大学:西安理工大学,2005 年.
    [5] 乌云达来.蓝牙无线四轮定位仪的研究与开发[D].大连理工大学:大连理工大学, 2006 年.
    [6] 韦毅.红外无源定位技术研究[D].西安电子科技大学:西安电子科技大学,2002 年.
    [7] Konard Lorincz and Matt Welsh. “MoteTrack: A Robust, Decentralized Approach to RF-Based Location Tracking”. D/OL. http://www.eecs.harvard.edu/~mdw/papers/motetrack-loca05.pdf. 2007-12-10
    [8] T. Roos, P. Myllymaki, H. Tirri, P. Misikangas, and J. Sievanen. “A Probabilistic approach to WLAN user location estimation”. International Journal of Wireless Information Networks[J]. vol.9, no.3, pp. 155-164, July 2002.
    [9] R. Battiti, M. Brunato, and A. Villani. “Statistical learning theory for location fingerprinting in wireless LAN’s,". D/OL. http://rtm.science.unitn.it/>>battiti/archive/86.pdf. 2007-12-10.
    [10] P. Prasithsangaree, P. Krishnamurthy, and P. K. Chrysanthis. “An indoor position location with wireless LANs," in Proc. IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC'02), Lisbon, Portugal, Sept. 2002.
    [11] Z. Xiang, S. Song, J. Chen, H. Wang, J. Huang, and X. Gao, “A wireless LAN‐based indoor positioning technology," IBM Journal of Research and Development, vol. 48, no. 5/6, pp. 617‐626, Sept./Nov. 2004.
    [12] Kamol Kaemarungsi, “Design of Indoor positioning system based on location fingerprint techinique”. D/OL. http://etd.library.pitt.edu/ETD/available/etd-02232005-235903/unrestricted/dissertatio n28Feb05.pdf . 2007-12-10.
    [13] 胡圣.室内定位技术的研究[D].重庆邮电大学:重庆邮电大学,2006 年.
    [14] 冯林,张维勇,魏振春.ZigBee 技术在家庭网络中的应用[J].合肥工业大学学报(自然科学版. 2005 年 7 月 28[7]:755-759.
    [15] 杨荣,杨涛.基于 ZigBee 的无线传感器网络及其在只能大厦中的应用[J].中国农机 化.2005(5):76-79.
    [16] 蒋伟民,毕红军.五种主流近距离无限技术比较[J],科技咨询导报,2006 年 14 期.
    [17] 蔡型,张思全.短距离无限通信技术综述[J],现代电子技术. 2004 年 27 期:65-67.
    [18] 王璐,秦汝祥.基于 RFID 的井下人员跟踪定位系统研究[C].安全科学技术,2004 年, 第 1 期:18-19.
    [19] N. B. Priyantha, A. Chakraborty, and H. Balakrishnan, “The cricket location‐ support system," in Proc. ACM International Conference on Mobile Computing and Networking (MOBICOM'00), Boston, MA, Aug. 2000, pp. 32‐ 43.
    [20] 王福豹,史龙,任丰原.无线传感器网络中的自身定位系统和算法[J].软件学报,2005 16 期:857-868.
    [21] 孙利民,李建中.《无限传感器网络》[M].北京:清华大学出版社,2005 年 5 月.
    [22] 李连,朱爱红.无线传感器网络中的定位技术研究[J].微计算机信息,2005.21.9-1 133-135.
    [23] Shashank Tadakamadla. “Indoor Local Positioning System For ZigBee, Based On RSSI”. D/OL. http://www.miun.se/upload/Institutioner/STC/PDF/MScThesis/Indoor%20Local%20P ositioning%20System%20for%20ZigBee%20based%20on%20RSSI.pdf. 2007-12.
    [24] Kamol Kaemarungsi and Prashant Krishnamurthy. “Modeling of Indoor Positioning Systems Based on Location Fingerprinting”. D/OL. www.ieee-infocom.org/2004/Papers/21_2.PDF. 2007-12.
    [25] Paramvir Bahl and Venkata N. Padmanabham. “RADAR: An In‐Building RF‐ based User Location and Tracking System”. D/OL. http://research.microsoft.com/~padmanab/papers/infocom2000.pdf. 2007-12.
    [26] IEEE 802 Working Group. “Standard for Part 15.4:Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low Rate Wireless Personal Area Networks (LR-WPANs)”, ANSI/IEEE 802.15.4, Oct. 2003.
    [27] 蒋挺,赵成林.《紫蜂技术及其应用》[M].北京:北京邮电大学,2006 年.
    [28] Jennic Ltd. http://www.jennic.com. D/OL. http://www.jennic.com. 2007-10.
    [29] Zigbee Alliance. Zigbee Specification Version 1.0. December 14th. 2004.
    [30] 贾庆节.网络嗅探器 Sniffer 技术分析[J].河南:河南科技,2006 年 07 期.
    [31] Daintree Ltd. http://www.daintree.net. D/OL. http://www.daintree.net. 2007-12.
    [32] 陈维克.基于 RSSI 的无线传感器网络加权质心定位算法.武汉理工大学学报[J]. 2006.4.30(2):265-268.