Analysis of factors influencing the indoor location of WiFi on board based on the angle of arrival

  • WANG Guo-yu ,
  • LIU Ke-zhong ,
  • CHEN Mo-zi ,
  • MA Jie ,
  • ZENG Xu-ming
Expand
  • (a. School of Navigation; b. Hubei Key Laboratory of Inland Navigation Technology; c. National Engineering Research Center for Water Transport Safety, Wuhan University of Technology, Wuhan 430063, China)

Received date: 2020-06-02

  Revised date: 2020-08-03

  Online published: 2020-08-03

Abstract


In order to explore the limitations of the existing WiFi based AOA indoor positioning methods  in the ship environment due to the serious multipath effect and noise interference caused by the hull material, cabin space shape and ship motion,on the basis of theoretical analysis of the relevant factors affecting WiFi signal transmission characteristics,  the influence of different scenes and navigation conditions on AOA measurement value of large-scale inland river passenger ships was studied through real ship measurement, and  the influence degree of hull material, cabin space shape and ship motion on AOA measurement value was analyzed by using data comparison method.The experimental results show that the influence of narrow ship cabin space on AOA measurement accuracy is significantly higher than that of open ship cabin space. When the distance between transmitter and receiver is about 6 m, AOA measurement offset of narrow cabin increases by 15 ° to 30 ° compared with open cabin.At the same time, the research also shows that ship motion or static state has a relatively small impact on the AOA measurement offset in the same experimental scene,  and the offset range is generally in the range of 5 ° to 12 °. This conclusion provides a basis for the engineering research and deployment of AOA indoor positioning system.

Cite this article

WANG Guo-yu , LIU Ke-zhong , CHEN Mo-zi , MA Jie , ZENG Xu-ming . Analysis of factors influencing the indoor location of WiFi on board based on the angle of arrival[J]. Journal of Dalian Maritime University, 2020 , 46(4) : 24 -31 . DOI: 10.16411/j.cnki.issn1006-7736.2020.04.004

References

[1]杨培举.智能船舶先行者[J]. 2015(12): 8-12, 104-105.[J].中国船检, 2015, 2015(12):8-12 [2]柳景斌, 黄百川, 张斌, 等.利用双天线商用信道状态信息估计到达角[J].武汉大学学报信息科学版, 2018, 43(12):2167-2172 [3]陈斌涛, 刘任任, 陈益强, 等.动态环境中的指纹自适应室内定λ方法[J].传感技术学报, 2015, 28(05):729-738 [4]田增山, 张千坤, 周牧, 等.基于的角度距离联合单站定λ[J].电子科技大学学报, 2019, 48(05):698-705 [5] 刘苗.室内定λ系统设计及USRP实现[D]. 华中科技大学, 2019. [6] 王嘉诚.AoA/RSSI融合定λ算法研究[D]. 重庆:重庆邮电大学, 2018. [7]Kotaru M, Joshi K, Bharadia D, et al.SpotFi: Decimeter level localization using WiFi[J].Acm Sigcomm Computer Communication Review, 2015, 45(4):269-282 [8] Xiong J, Jamieson K.ArrayTrack: A fine-grained indoor location system[C]. Usenix Conference on Networked Systems Design & Implementation. Usenix Association, 2013: 71-84. [9]Adib F, Katabi D.See through walls with WiFi[J].Acm Sigcomm Computer Communication Review, 2013, 43(4):75-86 [10] Joshi K, Bharadia D, Kotaru M, et al.WiDeo: Fine-grained device-free motion tracing using RF backscatter[C]. Usenix Conference on Networked Systems Design & Implementation. Usenix Association, 2015: 189-204. [11] Chen M, Liu K, Ma J, et al.SWIM: Speed-aware WiFi-based passive indoor localization for mobile ship environment[J].2019: 1-1.[J].IEEE Transactions on Mobile Computing, 2019, PP(99):1-1 [12] Wang J, Chang L, Abari O, et al.Are RFID sensing systems ready for the real world?[C]. the 17th Annual International Conference. 2019: 366-377. [13]Jiang G, Fu S, Chao Z, et al.Pose-relay videometrics based ship deformation measurement system and sea trials[J].Chinese Science Bulletin, 2011, 56(01):113-118 [14]Halperin D, Hu W, Sheth A, et al.Tool Release: Gathering 80211n traces with channel state information[J].Acm Sigcomm Computer Communication Review, 2011, 41(1):53-53
Outlines

/