Mathematical algorithms of an indoor ultrasonic localisation system

被引：0
|
作者：
Parisek, Zsolt [1 ]
Ruzsa, Zoltan [1 ,2 ]
Gordos, Geza [1 ,3 ,4 ]
机构：
[1] Bay Zoltan Fdn Appl Res, Inst Appl Telecommun Technol, Budapest, Hungary
[2] Budapest Univ Technol & Econ, Budapest, Hungary
[3] BME, Dept Telecommun & Media Informat, Budapest, Hungary
[4] Board Hungarian Telecommun Co, Budapest, Hungary
来源：
INFOCOMMUNICATIONS JOURNAL | 2009年 / 1卷 / 04期
关键词：
ultrasound; localisation; motion-tracking; trilateration; self-configuring;
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：
Our indoor ultrasonic localization and motion-tracking system (BATSY) is based on a mobile node capable of emitting radio and ultrasonic signals and a number of ultrasound sensors mounted at known positions in a room. The system uses the node's distance to the sensors (as derived from the arrival times of the ultrasound signal) for calculating its position. In this paper we discuss the mathematical and measurement problems related to ultrasonic localization, we propose a possible solution algorithm, and we present a method for determining the sensors' position in an automated way.
引用
收藏
页码：30 / 36
页数：7
相关论文
共 50 条
  • [21] Indoor Location System Using RFID and Ultrasonic Sensors
    Dai Hepeng
    Su Donglin
    ISAPE 2008: THE 8TH INTERNATIONAL SYMPOSIUM ON ANTENNAS, PROPAGATION AND EM THEORY, PROCEEDINGS, VOLS 1-3, 2008, : 1177 - 1179
  • [22] Wearable sensor-based indoor localisation system considering incomplete observations
    Wang, Yuan
    Huang, Jian
    Wang, Yongji
    INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND CONTROL, 2015, 24 (04) : 291 - 299
  • [23] A virtual GPS design using information of indoor localisation system for robotics navigation
    Hayajneh, Mohammad R.
    Galiano, Antonio M.
    INTERNATIONAL JOURNAL OF AUTOMATION AND CONTROL, 2022, 16 (05) : 573 - 593
  • [24] Range sensor data fusion and position estimation for the iLoc indoor localisation system
    Knauth, S.
    Jost, C.
    Klapproth, A.
    2009 IEEE CONFERENCE ON EMERGING TECHNOLOGIES & FACTORY AUTOMATION (EFTA 2009), 2009,
  • [25] Pedestrian localisation in the typical indoor environments
    Kanrar, Soumen
    Dawar, Kanika
    Pundir, Abhishek
    MULTIMEDIA TOOLS AND APPLICATIONS, 2020, 79 (37-38) : 27833 - 27866
  • [26] Pedestrian localisation in the typical indoor environments
    Soumen Kanrar
    Kanika Dawar
    Abhishek Pundir
    Multimedia Tools and Applications, 2020, 79 : 27833 - 27866
  • [27] Understanding the Quality of Calibrations for Indoor Localisation
    McConville, Ryan
    Byrne, Dalian
    Craddock, Ian
    Piechocki, Robert
    Pope, James
    Santos-Rodriguez, Raul
    2018 IEEE 4TH WORLD FORUM ON INTERNET OF THINGS (WF-IOT), 2018, : 676 - 681
  • [28] Multi Fingerprint Map for Indoor Localisation
    Mestre, Pedro
    Cordeiro, Joao
    Serodio, Carlos
    WORLD CONGRESS ON ENGINEERING, WCE 2015, VOL I, 2015, : 599 - 604
  • [29] Indoor localisation robustness and performance improvement
    Ji, Yiming
    INTERNATIONAL JOURNAL OF COMMUNICATION NETWORKS AND DISTRIBUTED SYSTEMS, 2011, 7 (1-2) : 64 - 80
  • [30] CRAFT Reducing the Effort for Indoor Localisation
    Crane, Paul
    Huang, Zhiyi
    Zhang, Haibo
    2017 IEEE 28TH ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR, AND MOBILE RADIO COMMUNICATIONS (PIMRC), 2017,
12345