Robust indoor positioning based on received signal strength

被引：0
|
作者：
Sayrafian-Pour, Kamran [1 ]
Perez, Julio [2 ]
机构：
[1] Natl Inst Stand & Technol, Informat Technol Lab, Gaithersburg, MD 20899 USA
[2] Swiss Fed Inst Technol, Dept Comp Sci, Zurich, Switzerland
来源：
2007 2ND INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND APPLICATIONS, VOLS 1 AND 2 | 2007年
关键词：
indoor positioning; ray-tracing; radio-map;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
A positioning algorithm based on the relative order of the received signal strengths is discussed. This algorithm in conjunction with the ray-tracing propagation model can have promising performance for indoor environments without any needs for extensive set of a priori training. Enhancements to the positioning algorithm will be proposed and investigated. Two sets of experimental results with 802.11-based infrastructure and MICA2 motes are presented to demonstrate the system capability and performance in practice.
引用
收藏
页码：655 / +
页数：2
相关论文
共 50 条
  • [21] Accuracy Evaluation of Indoor Positioning by Received Signal Strength using Deep Learning
    Narita, Yuma
    Lu, Shan
    Kamabe, Hiroshi
    2022 24TH INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATION TECHNOLOGY (ICACT): ARITIFLCIAL INTELLIGENCE TECHNOLOGIES TOWARD CYBERSECURITY, 2022,
  • [22] A Fast and Resource Efficient Method for Indoor Positioning Using Received Signal Strength
    Wu, Zheng
    Fu, Kechang
    Jedari, Esrafil
    Shuvra, Shaeera Rabbanee
    Rashidzadeh, Rashid
    Saif, Mehrdad
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2016, 65 (12) : 9747 - 9758
  • [23] Accuracy Evaluation of Indoor Positioning by Received Signal Strength using Deep Learning
    Narita, Yuma
    Lu, Shan
    Kamabe, Hiroshi
    2021 23RD INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATION TECHNOLOGY (ICACT 2021): ON-LINE SECURITY IN PANDEMIC ERA, 2021, : 132 - 136
  • [24] Indoor positioning via subarea fingerprinting and surface fitting with received signal strength
    Wang, Bang
    Zhou, Shengliang
    Yang, Laurence T.
    Mo, Yijun
    PERVASIVE AND MOBILE COMPUTING, 2015, 23 : 43 - 58
  • [25] Hybrid Technique for Indoor Positioning System based on Wi-Fi Received Signal Strength Indication
    Torteeka, Peerapong
    Xiu Chundi
    Yang Dongkai
    2014 INTERNATIONAL CONFERENCE ON INDOOR POSITIONING AND INDOOR NAVIGATION (IPIN), 2014, : 48 - 57
  • [26] Indoor Positioning System Based on Received Signal Strength (RSS) Fingerprinting : Case in Politeknik Caltex Riau
    Diono, Muhammad
    Rachmana, Nana
    2014 8TH INTERNATIONAL CONFERENCE ON TELECOMMUNICATION SYSTEMS SERVICES AND APPLICATIONS (TSSA), 2014,
  • [27] Received signal strength based indoor positioning algorithm using advanced clustering and kernel ridge regression
    Le, Yanfen
    Zhang, Hena
    Shi, Weibin
    Yao, Heng
    FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING, 2021, 22 (06) : 827 - 838
  • [28] Geometric Algorithm for Received Signal Strength Based Mobile Positioning
    Brida, Peter
    Cepel, Peter
    Duha, Jan
    RADIOENGINEERING, 2005, 14 (02) : 1 - 6
  • [29] A Positioning Algorithm for Node of WSN Based on Received Signal Strength
    Yang, Xiang
    Pan, Wei
    Zhang, Yuanyi
    ADVANCES IN MULTIMEDIA, SOFTWARE ENGINEERING AND COMPUTING, VOL 1, 2011, 128 : 441 - +
  • [30] Camera Assisted Received Signal Strength Ratio Algorithm for Indoor Visible Light Positioning
    Bai, Lin
    Yang, Yang
    Guo, Caili
    Feng, Chunyan
    Xu, Xiaogeng
    IEEE COMMUNICATIONS LETTERS, 2019, 23 (11) : 2022 - 2025
12345