The Precise Undergorund Localization Mathod Based on WIFI Network

被引：0
作者：
Guo, Yinjing [1 ]
Liu, Hong [1 ]
Shu, Lizhu [1 ]
Li, Jin [1 ]
机构：
[1] Shandong Univ Sci & Technol, Coll Informat & Elect Engn, Qingdao 266590, Shandong, Peoples R China
来源：
18TH ASIA-PACIFIC CONFERENCE ON COMMUNICATIONS (APCC 2012): GREEN AND SMART COMMUNICATIONS FOR IT INNOVATION | 2012年
关键词：
WIFI; collaborative awareness; underground precise localization;
D O I：
暂无
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
The localization information of the mobile nodes is captured by the nodes of the underground WIFI network collaboratively through the received RF amplitudes. This method is based on the information fusion of Markov chain. The spectrum distribution information between two adjacent nodes is perceived by the mobile node, and then the frequency and power vector are sent to the fusion center (FC) to estimate the location coordinate. Combining underground characteristics with the Markov process, the incremental maximum a posteriori (MAP) estimation algorithm is employed to make locauzation judgment and obtain the relationship between mobile node and electronic map coordinates. The simulation result shows that the method used in the coal mine wireless localization system can improve the localization accuracy to 1.6 meters.
引用
收藏
页码：664 / 667
页数：4
相关论文
共 50 条
  • [31] Identification and Mitigation of NLOS Based on Channel State Information for Indoor WiFi Localization
    Cai, Xiong
    Li, Xiaohui
    Yuan, Ruiyang
    Hei, Yongqiang
    2015 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS & SIGNAL PROCESSING (WCSP), 2015,
  • [32] An Accurate and Calibration-free Approach for RSS-based WiFi Localization
    Li, Lin
    Guo, Xiansheng
    Xu, Feng
    Hu, Fangzi
    2018 IEEE 23RD INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING (DSP), 2018,
  • [33] FLOOR IDENTIFICATION WITH COMMERCIAL SMARTPHONES IN WIFI-BASED INDOOR LOCALIZATION SYSTEM
    Ai, H. J.
    Liu, M. Y.
    Shi, Y. M.
    Zhao, J. Q.
    XXIII ISPRS CONGRESS, COMMISSION IV, 2016, 41 (B4): : 573 - 577
  • [34] Fuzzy classifier ensembles for hierarchical WiFi-based semantic indoor localization
    Hernandez, Noelia
    Alonso, Jose M.
    Ocana, Manuel
    EXPERT SYSTEMS WITH APPLICATIONS, 2017, 90 : 394 - 404
  • [35] Supplementary open dataset for WiFi indoor localization based on received signal strength
    Bi, Jingxue
    Wang, Yunjia
    Yu, Baoguo
    Cao, Hongji
    Shi, Tongguang
    Huang, Lu
    SATELLITE NAVIGATION, 2022, 3 (01):
  • [36] SpotFi: Decimeter Level Localization Using WiFi
    Kotaru, Manikanta
    Joshi, Kiran
    Bharadia, Dinesh
    Katti, Sachin
    ACM SIGCOMM COMPUTER COMMUNICATION REVIEW, 2015, 45 (04) : 269 - 282
  • [37] A MAC Controller Design for Zigbee and WiFi Hybrid Network Based on FPGA
    Liu, Wenyue
    Chen, Zheng
    Luo, Guosheng
    Li, Gang
    Wu, Shuo
    Zhou, Wenli
    2018 IEEE 8TH ANNUAL INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (IEEE-CYBER), 2018, : 430 - 434
  • [38] Simultaneous Crowd Counting and Localization by WiFi CSI
    Choi, Hyuckjin
    Matsui, Tomokazu
    Fujimoto, Manato
    Yasumoto, Keiichi
    PROCEEDINGS OF THE 2021 INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING AND NETWORKING (ICDCN '21), 2021, : 239 - 240
  • [39] WiFi Ad-Hoc Mesh Network and MAC Protocol Solution for UWB Indoor Localization Systems
    Ridolfi, Matteo
    Van de Velde, Samuel
    Steendam, Heidi
    De Poorter, Eli
    2016 IEEE SYMPOSIUM ON COMMUNICATIONS AND VEHICULAR TECHNOLOGY IN THE BENELUX (SCVT), 2016,
  • [40] A WiFi based Smart Wireless Sensor Network for Monitoring an Agricultural Environment
    Mendez, Gerard Rudolph
    Yunus, Mohd Amri Md
    Mukhopadhyay, Subhas Chandra
    2012 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC), 2012, : 2640 - 2645
12345