基于WLAN的三维室内定位机制的AP信号特性研究

doi:10.3969/j.issn.1671-1122.2018.06.009

信息网络安全 ›› 2018, Vol. 18 ›› Issue (6): 67-76.doi: 10.3969/j.issn.1671-1122.2018.06.009

基于WLAN的三维室内定位机制的AP信号特性研究

余润身^1,²(), 米浩东¹, 陈敏军^1,², 程成³

1. 同济大学计算机科学与技术系,上海 201804
2. 同济大学嵌入式系统与服务计算教育部重点实验室,上海 201804
3. 苏州科技大学电子工程系,江苏苏州 215009

收稿日期:2018-03-26 出版日期:2018-06-15 发布日期:2020-05-11
作者简介:
作者简介：余润身（1994—）,男,浙江,硕士研究生,主要研究方向为信息安全、车联网;米浩东（1997—）,男,湖北,本科,主要研究方向为机器学习、信息安全;陈敏军（1995—）,男,江苏,硕士研究生,主要研究方向为车联网、信息安全;程成（1980—）,男,江苏,讲师,博士,主要研究方向为信息安全、机器学习。
基金资助:
国家自然科学基金[61472284]

Research on AP Signal Characteristics of 3D Indoor Positioning Mechanism Based on WLAN

Runshen YU^1,²(), Haodong MI¹, Minjun CHEN^1,², Cheng CHENG³

1. Department of Computer Science and Technology, Tongji University, Shanghai 201804, China
2. Key Laboratory of Embedded System and Service Computing of Ministry of Education, Tongji University, Shanghai 201804, China
3. Department of Electronic Engineering, Suzhou University of Science and Technology, Suzhou Jiangsu 215009, China

Received:2018-03-26 Online:2018-06-15 Published:2020-05-11

摘要/Abstract

摘要：

现有GPS定位技术在室外环境中已经满足了移动终端的定位需求,但其在室内环境中基本失效。并且多数室内定位方案只针对室内一块较小的区域或局限于二维平面上,不利于推广并集成到室内地图或导航应用中。因此,基于各种无线技术如红外、蓝牙、超宽带、无线射频等室内定位技术纷纷被提出,其中,基于WLAN的室内定位技术因其具有高性价比优势而备受广泛关注。但是目前关于AP接收信号强度的特性缺乏系统性研究,无法满足具体室内定位环境所需要的AP特征,不能保证室内定位机制的正确性和合理性。因此,文章对AP附近产生的接收信号强度特性进行了深入研究,具体探讨了RSS随时间变化的正态分布性、稳定性及可探测性,并对可能干扰RSS的因素进行了分析和研究。基于以上研究结论,文章又对实际室内定位环境中基于概率型的位置指纹法适用性进行了讨论。

关键词: WLAN, 定位技术, 三维室内定位, AP信号, RSS特性

Abstract:

Nowadays, the existing GPS position technology has satisfied the positioning requirements of the mobile terminal in the outdoor environment, but it almost fails in the indoor environment, and most indoor positioning solutions are aimed at a small indoor area or on a two-dimensional plane, which is not conducive to promotion or integrated into indoor maps and navigation apps. Therefore, indoor positioning technologies based on various wireless technologies such as infrared, Bluetooth, ultra-wideband, and radio frequency have been proposed, among which the WLAN indoor positioning technology has received extensive attention because of its high cost-performance advantage. However, there is no systematic research on the characteristics of the received signal strength of the AP, which cannot meet the characteristics of the AP properties required for a specific indoor location environment, and cannot guarantee the correctness and rationality of the indoor location mechanism. For this reason, this article has conducted in-depth research on the characteristics of the received signal strength generated by the AP near its location. The distribution, stability, and detectability of RSS over time are discussed especially, and the factors that may interfere with RSS are analyzed. Based on the above conclusions, this paper discussed the applicability of the probabilistic location fingerprinting method in an actual indoor location environment.

Key words: WLAN, positioning technology, three-dimensional indoor positioning, AP signal, RSS features

中图分类号:

TP309

余润身, 米浩东, 陈敏军, 程成. 基于WLAN的三维室内定位机制的AP信号特性研究[J]. 信息网络安全, 2018, 18(6): 67-76.

Runshen YU, Haodong MI, Minjun CHEN, Cheng CHENG. Research on AP Signal Characteristics of 3D Indoor Positioning Mechanism Based on WLAN[J]. Netinfo Security, 2018, 18(6): 67-76.

图/表 16

图1

图2

表1

图3

表2

图4

表3

图5

图6

图7

图8

图9

图10

表4

表5

图11

参考文献 18

[1]	WENG Ninglong, LIU Ran, WU Zizhang.Research on Indoor and Outdoor Positioning Technology[J]. Digital Technology and Application, 2011(5): 179.
	翁宁龙,刘冉,吴子章. 室内与室外定位技术的研究[J]. 数字技术与应用,2011(5):179.
[2]	ZHANG Minghua.Study on WLAN Based Indoor Location Estimation Technology[D]. Shanghai: Shanghai Jiaotong University, 2009.
	张明华. 基于WLAN的室内定位技术研究[D]. 上海:上海交通大学,2009.
[3]	XU Zixian, CHEN Yan.Research on the Security of WLAN Wireless Access Equipment[J]. Netinfo Security, 2013, 13(4): 53-55.
	许子先,陈燕. WLAN无线接入设备安全研究[J]. 信息网络安全,2013,13(4):53-55.
[4]	LI Yang.Operators WiFi Competition Upgrade, Traffic Lean Management can be Expected[J]. Shanghai Informatization, 2012(2): 56-58.
	李杨. 运营商WiFi竞争升级流量精益管理可期[J]. 上海信息化,2012(2):56-58.
[5]	BAHL P, PADMANABHAN V N.RADAR: An In-building RF-based User Location and Tracking System[C]//IEEE. 9th Annual Joint Conference of the IEEE Computer and Communications Societies, March 26-30, 2000, Tel Aviv, Israel. New Jersey: IEEE, 2000: 775-784.
[6]	COTRONEO D, RUSSO S, CORNEVILLI F.Implementing Positioning Services over an Ubiquitous Infrastructure[C]//IEEE. 2nd IEEE Workshop on Software Technologies for Future Embedded and Ubiquitous Systems, May 12, 2004, Vienna, Austria. New Jersey: IEEE, 2004: 14-18.
[7]	XU Fengyan, LI Liangbin, WANG Zongxin.A New WLAN Indoor Localization System Based on Distance-loss Model with Area Partition[J]. Journal of Electronics & Information Technology, 2008, 30(6): 1405-1408.
[8]	DENG Zhongliang,WANG Wenjie,XU Lianming.A K-means Based Method to Identify Floor in WLAN Indoor Positioning System[J]. Computer Engineering & Software, 2012, 33(12): 114-117.
[9]	SWANGMUANG N, KRISHNAMURTHY P.Location Fingerprint Analyses Toward Efficient Indoor Positioning[C]//IEEE. 6th Annual IEEE International Conference on Pervasive Computing and Communications, March 17-21, 2008, Hong Kong, China. New Jersey: IEEE, 2008: 100-109.
[10]	MBAlib. WLAN[EB/OL]. , 2017-10-24.
[11]	Tutorial-Reports. IEEE 802.11 Architecture[EB/OL]. , 2014-2-18.
[12]	Google. Android API[EB/OL]., 2014-3-4.
[13]	LI Qing, YE A-yong, XU Li.Research on Privacy Attack Based on Location Cheating in Social Network[J]. Netinfo Security, 2017, 17(5): 51-56.
	李晴,叶阿勇,许力. 社交网络中基于定位欺骗的隐私攻击研究[J]. 信息网络安全,2017,17(5):51-56.
[14]	SKLAR B.Rayleigh Fading Channels in Mobile Digital Communication Systems .I. characterization[J]. IEEE Communications Magazine, 2002, 35(7): 90-100.
[15]	PAHLAVAN K, KRISHNAMURTH P.Principles of Wireless Networks: A Unified Approach[M]. New jersey: Upper Saddle River, 2001.
[16]	LADD A M, BEKRIS K E, RUDYS A, et al.Robotics-based Location Sensing using Wireless Ethernet[C]//ACM. 8th Annual International Conference on Mobile Computing and Networking, September 23-28, 2002, New York: ACM, 2002: 227-238.
[17]	SMALL J, SMAILAGIC A, SIEWIOREK D. Determining User Location for Context Aware Computing through the Use of a Wireless LAN Infrastructure[EB/OL]. , 2017-12-2.
[18]	Wikipedia. WiFi 5 GHz Official Website[EB/OL]. , 2014-3-4.

基于WLAN的三维室内定位机制的AP信号特性研究

Research on AP Signal Characteristics of 3D Indoor Positioning Mechanism Based on WLAN

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

图/表 16

参考文献 18

相关文章 7

编辑推荐

Metrics

本文评价

[1]	盛家伦;姚智童;王云涛;付绍静. 一种基于人脸识别的WLAN安全通信系统的设计与实现[J]. , 2013, 13(9): 0-0.
[2]	许子先;陈燕. WLAN无线接入设备安全研究[J]. , 2013, 13(4): 0-0.
[3]	黄波. 基于链路层的WLAN加密与认证安全研究[J]. , 2012, 12(6): 0-0.
[4]	赵海良. 公共场所下中国移动WLAN数据传输安全性研究[J]. , 2011, 11(10): 0-0.
[5]	姚小兵;高媛. 无线局域网入侵检测系统的架构与应用[J]. , 2010, (9): 0-0.
[6]	史永贺;刘焕淋. 基于3G/WLAN交互网络的认证方法改进[J]. , 2008, 8(8): 0-0.
[7]	柴争义;陈亮;王雪涛. WLAN中IDS架构研究[J]. , 2008, 8(8): 0-0.