Recent advances in RF-based passive device-free localisation for indoor applications

被引:49
|
作者
Palipana, Sameera [1 ]
Pietropaoli, Bastien [1 ]
Pesch, Dirk [1 ]
机构
[1] Cork Inst Technol, Nimbus Ctr, Cork, Ireland
关键词
Indoor; Device-free; Localisation; Wireless networks; Radar; LOCATION; OCCUPANCY; SYSTEM;
D O I
10.1016/j.adhoc.2017.06.007
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Radio frequency (RF) based indoor localisation techniques have gained much attention over the past nearly three decades. Such techniques can be classified as active and passive while passive systems can have either device-assisted or device-free characteristics. Device-free localisation can be a prominent research field as it transcends other device-based approaches in certain application scenarios. Accordingly, we have witnessed an influx of IDFL research focusing on multiple disciplines including occupancy, positioning, activity and identity. However, despite the recent emergence of several exciting technologies and corresponding techniques, IDFL faces some important challenges and because of this, we haven't come across many mainstream commercial products using RF-based IDFL techniques. In this article, we survey the recent progress of IDFL prioritising on indoor positioning. We decompose the localisation dimensions into occupants, space and time, provide a detailed taxonomy and a comprehensive review of these techniques. We divide the state of the art mainly into Wireless Network-based and Radar-based, evaluate the respective technologies and the techniques qualitatively, discuss trends, limitations and also indicate future research directions relevant to this field. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:80 / 98
页数:19
相关论文
共 50 条
  • [1] Improving RF-Based Device-Free Passive Localization In Cluttered Indoor Environments Through Probabilistic Classification Methods
    Xu, Chenren
    Firner, Bernhard
    Zhang, Yanyong
    Howard, Richard
    Li, Jun
    Lin, Xiaodong
    [J]. IPSN'12: PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON INFORMATION PROCESSING IN SENSOR NETWORKS, 2012, : 209 - 220
  • [2] A hierarchical RSS model for RF-based device-free localization
    Luo, Yubin
    Huang, Kaide
    Guo, Xuemei
    Wang, Guoli
    [J]. PERVASIVE AND MOBILE COMPUTING, 2016, 31 : 124 - 136
  • [3] The Case for Efficient and Robust RF-Based Device-Free Localization
    Xu, Chenren
    Firner, Bernhard
    Zhang, Yanyong
    Howard, Richard E.
    [J]. IEEE TRANSACTIONS ON MOBILE COMPUTING, 2016, 15 (09) : 2362 - 2375
  • [4] A Bayesian approach for RF-based indoor localisation
    Widyawan, R.
    Klepal, Martin
    Pesch, Dirk
    [J]. 2007 FOURTH INTERNATIONAL SYMPOSIUM ON WIRELESS COMMUNICATION SYSTEMS, VOLS 1 AND 2, 2007, : 722 - 726
  • [5] Efficient Recognition of Informative Measurement in the RF-Based Device-Free Localization
    Tan, Jiaju
    Guo, Xuemei
    Zhao, Xin
    Wang, Guoli
    [J]. SENSORS, 2019, 19 (05)
  • [6] RF-Motion: A Device-Free RF-Based Human Motion Recognition System
    Zhao, Jumin
    Zhou, Jianyi
    Yao, Yuxuan
    Li, Deng-ao
    Gao, Liye
    [J]. WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2021, 2021
  • [7] RF-Based Device-Free Counting of People Waiting in Line: A Modular Approach
    De Sanctis, Mauro
    Di Domenico, Simone
    Fioravanti, Davide
    Abellan, Eduardo Ballesteros
    Rossi, Tommaso
    Cianca, Ernestina
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2022, 71 (10) : 10471 - 10484
  • [8] Device-free indoor localisation with small numbers of anchors
    Potorti, Francesco
    Cassara, Pietro
    Barsocchi, Paolo
    [J]. IET WIRELESS SENSOR SYSTEMS, 2018, 8 (04) : 152 - 161
  • [9] RF-Wri: An Efficient Framework for RF-Based Device-Free Air-Writing Recognition
    Uysal, Can
    Filik, Tansu
    [J]. IEEE SENSORS JOURNAL, 2021, 21 (16) : 17906 - 17916
  • [10] Enhancing the Performance of Indoor Device-Free Passive Localization
    Yang, Wu
    Gong, Liangyi
    Man, Dapeng
    Lv, Jiguang
    Cai, Haibin
    Zhou, Xiancun
    Yang, Zheng
    [J]. INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2015,