FHRSS:适用于动态多径环境的RSS定位系统

doi:10.19678/j.issn.1000-3428.0048311

计算机工程 ›› 2018, Vol. 44 ›› Issue (10): 118-123. doi: 10.19678/j.issn.1000-3428.0048311

FHRSS:适用于动态多径环境的RSS定位系统

庄昱垚¹,张骋^2,3,赵统一¹

1.江苏先安科技有限公司,南京 210016; 2.陆军工程大学指挥控制工程学院,南京 210007; 3.中国人民解放军空降兵训练基地,广西桂林 541003

收稿日期:2017-08-10 出版日期:2018-10-15 发布日期:2018-10-15
作者简介:庄昱垚(1973—),男,工程师,主研方向为室内定位、网络与信息安全;张骋(通信作者),助教、博士;赵统一,学士。
基金资助:
国家自然科学基金面上项目(61273047,61573376);江苏省自然科学基金青年项目(BK20130068)。

FHRSS:RSS-based Localization System Suitable for Dynamic Multipath Environments

ZHUANG Yuyao¹,ZHANG Cheng^2,3,ZHAO Tongyi¹

1.Jiangsu Xian’an Technology Co.,Inc.,Nanjing 210016,China; 2.Institute of Command and Control Engineering,The Army Engineering University of PLA,Nanjing 210007,China; 3.Airborne Training Base of PLA,Guilin,Guangxi 541003,China

Received:2017-08-10 Online:2018-10-15 Published:2018-10-15

摘要/Abstract

摘要： 基于接收信号强度(RSS)测距的定位性能受到动态多径的严重影响。针对该问题,设计跳频接收信号强度(FHRSS)室内定位系统。利用广播电视的保护频带传送测距信号,在大量而且分布很广的保护频带之间进行跳频测量。为对抗多径的严重影响,基于频率选择特性设计一种高效的多径误差消除方法。FHRSS具有简单的闭合测距表达式,可避免制约传统RSS测距方法的训练过程。使用USRP N210软件无线电平台实现FHRSS定位系统,并在动态室内环境下对其进行性能测试。实验结果表明,相比传统RSS定位系统,FHRSS可有效减小测距误差和定位误差,实现2.6 m的定位精度。

关键词: 室内定位, 跳频, 接收信号强度, 多径, 保护频带

Abstract: The dynamic multipath is a major challenge to positioning solutions based on Received Signal Strength(RSS) ranging.Aiming at this problem,this paper puts forward Frequency Hopping Received Signal Strength(FHRSS) indoor positioning system.It transfers the ranging signal through the guard band of radio and television,and does the frequency hopping measure between the widely distributed guard bands.Based on the frequency selectivity of multipath,a ranging method is designed to eliminate multipath errors.FHRSS has a simple closed-form expression and hence avoids the training process,which limits the use of traditional RSS method severely.It is implemented with USRP N210 software radio platform and evaluated in a dynamic indoor environment.The experimental results show that,compared with the traditional RSS-based positioning system,FHRSS can reduce the ranging error and the positioning error respectively,and its positioning accuracy reaches 2.6 m.

中图分类号:

TP393

庄昱垚,张骋,赵统一. FHRSS:适用于动态多径环境的RSS定位系统[J]. 计算机工程, 2018, 44(10): 118-123.

ZHUANG Yuyao,ZHANG Cheng,ZHAO Tongyi. FHRSS:RSS-based Localization System Suitable for Dynamic Multipath Environments[J]. Computer Engineering, 2018, 44(10): 118-123.

https://www.ecice06.com/CN/Y2018/V44/I10/118

参考文献

［1］LYMBEROPOULOS D,LIU J,YANG X,et al.A realistic evaluation and comparison of indoor location technologies:experiences and lessons learned［C］//Proceedings of ACM International Conference on Information Processing in Sensor Networks.New York,USA:ACM Press,2015:178-189.br/ ［2］SU W,LIU E,YOU J,et al.Precise indoor localization platform based on WiFi-GeoMagnetic fingerprinting and aided IMU［C］//Proceedings of ACM International Conference on Information Processing in Sensor Networks.New York,USA:ACM Press,2016:1-2.br/ ［3］WANG J,KATABI D.Dude,where’s my card?RFID positioning that works with multipath and non-line of sight［C］//Proceedings of ACM Conference on Special Interest Group on Data Communication.New York,USA:ACM Press,2013:51-62.br/ ［4］ADIB F,KABELAC Z,KATABI D.Multi-person localization via RF body reflections［C］//Proceedings of USENIX Conference on Networked Systems Design and Implementation.New York,USA:ACM Press,2015:279-292.br/ ［5］KUMAR S,HAMED E,KATABI D,et al.LTE radio analytics made easy and accessible［C］//Proceedings of ACM Conference on Special Interest Group on Data Communication.New York,USA:ACM Press,2014:211-222.br/ ［6］LOU X,TING P.Ultra-wideband ToA and TDoA hybrid localization system［C］//Proceedings of ACM International Conference on Information Processing in Sensor Networks.New York,USA:ACM Press,2016:1-2.br/ ［7］KEMPKE B,PANNUTO P,CAMPBELL B,et al.Demo:PolyPoint:high-precision indoor localization with UWB［C］//Proceedings of ACM Conference on Embedded Networked Sensor Systems.New York,USA:ACM Press,2015:1-2.br/ ［8］XIONG J,SUNDARESAN K,JAMIESON K.ToneTrack:leveraging frequency-agile radios for time-based indoor wireless localization［C］//Proceedings of ACM Annual International Conference on Mobile Computing and Networking.New York,USA:ACM Press,2015:537-549.br/ ［9］KOTARU M,JOSHI K,BHARADIA D,et al.SpotFi:decimeter level localization using WiFi［C］//Proceedings of ACM Conference on Special Interest Group on Data Communication.New York,USA:ACM Press,2015:269-282.br/ ［10］杨铮,刘云浩.Wi-Fi雷达:从RSSI到CSI［J］.中国计算机学会通讯,2014,10(11):55-60.br/ ［11］WHITEHOUSE K,KARLOF C,CULLER D.A practical evaluation of radio signal strength for ranging-based localization［J］.ACM SIGMOBILE:Mobile Computing and Communications Review,2007,11(1):41-52.br/ ［12］COLUCCIA A,RICCIATO F.RSS-based localization via Bayesian ranging and iterative least squares positioning［J］.IEEE Communications Letters,2014,18(5):873-876.br/ ［13］NURMINEN H,TALVITIE J,ALI-LOYTTY S,et al.Statistical path loss parameter estimation and positioning using RSS measurements in indoor wireless networks［C］//Proceedings of IEEE International Conference on Indoor Positioning and Indoor Navigation.Washington D.C.,USA:IEEE Press,2012:1-9.br/ ［14］JIANG J A,ZHENG X Y,CHEN Y F,et al.A distributed RSS-based localization using a dynamic circle expanding mechanism［J］.IEEE Sensors Journal,2013,13(10):3754-3766.br/ ［15］周雄,陈国彬.RSS测距模式下无线传感器网络凸松驰定位算法［J］.计算机工程,2015,41(8):76-81.br/ ［16］YAGINUMA N,UMEHIRA M,FUNADA R,et al.A guard band aggregation scheme for cognitive radio using TV white space［C］//Proceedings of IEEE International Conference on Communication Systems.Washington D.C.,USA:IEEE Press,2012:428-432.br/ ［17］ZHANG J,ZHANG J,TAN K,et al.Turning waste into wealth:enabling communication in guardband whitespace［C］//Proceedings of ACM International Symposium on Mobile Ad Hoc Networking and Computing.New York,USA:ACM Press,2015:37-46.br/ ［18］JIAN S,ZHIXING Y,LIN Y,et al.Technical review on Chinese digital terrestrial television broadcasting standard and measurements on some working modes［J］.IEEE Transactions on Broadcasting,2007,53(1):1-7.br/ ［19］RIFE D C,BOORSTYN R R.Multiple tone parameter estimation from discrete-time observations［J］.Bell System Technical Journal,1976,55(9):1389-1410.br/ ［20］YU K,SHARP I.Ground-based wireless positioning［M］.Hoboken,USA:John Wiley and Sons,2009:155-168.br/ ［21］RAPPAPORT T S.Wireless communications:principles and practice［M］.Englewood Cliffs,USA:Prentice Hall,2002:260-272.br/ ［22］KAY S M.Fundamentals of statistical signal processing［M］.Englewood Cliffs,USA:Prentice Hall,1993:131-143.br/ ［23］FRT-H601T国标地面电视手持场测仪介绍［EB/OL］.［2017-09-10］.http://www.fle.cn/shouchi.htm.br/

[1]	张毅恒, 刘以安, 宋海凌. 基于增强型龙格库塔优化算法的跳频序列设计[J]. 计算机工程, 2024, 50(4): 267-276.
[2]	金彦亮, 王妍, 齐崎, 唐晨君, 刘千红. 室内环境下无线干涉定位系统的多径误差分析[J]. 计算机工程, 2021, 47(7): 135-139.
[3]	冷文. 基于三个定向天线RSS的二维到达角估计[J]. 计算机工程, 2021, 47(5): 160-168,175.
[4]	王淼, 蔡晓霞, 雷迎科. 基于改进时频检测的欠定变速跳频信号盲分离算法[J]. 计算机工程, 2020, 46(8): 172-177,183.
[5]	党小超, 邓琦研, 郝占军. 基于30°角同心圆环形取样的室内人员检测方法[J]. 计算机工程, 2020, 46(4): 198-205.
[6]	潘维蔚, 康凯, 张武雄, 王海峰. 基于WiFi的室内定位准确率改进算法[J]. 计算机工程, 2020, 46(2): 207-213.
[7]	马一鸣, 石志东, 赵康, 贡常磊, 单联海. 基于改进哈里斯鹰优化算法的TDOA定位[J]. 计算机工程, 2020, 46(12): 179-184.
[8]	王少波, 郭英, 眭萍, 李红光, 杨鑫. 欠定条件下同步组网跳频信号盲源分离方法[J]. 计算机工程, 2020, 46(10): 166-172,181.
[9]	刘家宏, 李宝路, 杨澜, 邱硕冰, 李玥. 基于灰色预测模型的GPS/WiFi室内外融合定位方法[J]. 计算机工程, 2019, 45(9): 264-269.
[10]	王晶晶, 刘伟, 夏宇, 罗嵘, 胡顺仁. 半封闭走廊中无线信道传播特性分析与建模[J]. 计算机工程, 2019, 45(7): 147-153.
[11]	郝占军, 蔡文波, 党小超. 一种改进的时间反转二阶段室内定位方法[J]. 计算机工程, 2019, 45(7): 282-290.
[12]	王泽,陈永乐,王潇健. 基于CSI的WLAN认证及攻击定位方案[J]. 计算机工程, 2019, 45(6): 181-187.
[13]	戴志诚,李小年,陈增照,何秀玲. 基于KNN算法的可变权值室内指纹定位算法[J]. 计算机工程, 2019, 45(6): 310-314.
[14]	刘庆,关维国,李顺康,王芳. 基于扩展Kalman滤波的室内WiFi-PDR融合定位算法[J]. 计算机工程, 2019, 45(4): 66-71,77.
[15]	彭昊,彭敏,安宁,周清峰. 基于蓝牙RSSI的贝叶斯区域判别定位算法[J]. 计算机工程, 2019, 45(3): 125-131,137.

选择文件类型/文献管理软件名称

选择包含的内容

FHRSS:适用于动态多径环境的RSS定位系统

FHRSS:RSS-based Localization System Suitable for Dynamic Multipath Environments

PDF

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

模态框（Modal）标题

选择文件类型/文献管理软件名称

选择包含的内容

FHRSS:适用于动态多径环境的RSS定位系统

FHRSS:RSS-based Localization System Suitable for Dynamic Multipath Environments

PDF

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价