TU Berlin

Main document

Literature Database Entry

simon2021device-free

Dominic Simon, "Device-free Passive Localization using Millimeter Wave Radios," Master's Thesis, School of Electrical Engineering and Computer Science (EECS), TU Berlin (TUB), January 2021. (Advisor: Anatolij Zubow; Referees: Falko Dressler and Thomas Sikora)

Abstract

Localization of people and objects is an important step in technology topics like security, smart homes, elderly care or statistical use cases. With rising awareness for privacy localization camera free technologies are getting more important. Many approaches on passive device-free localization like CSI fingerprinting depend on con- sistent environments and complex calibration routines every time the environment has changed. The approach described in this thesis does not need this complex and labour intense calibration after changing objects in the environment. In contrast the calibration process can run automated and human interaction free. Only a one-step measure session is needed to provide necessary calibration data. This thesis uses the data of two phased antenna arrays to measure the signal loss at different directions of transmitted and received beams. One calibration session and one detection session is needed to generate proper results on a setup with two Terragraph radios 2 m apart. Path loss differences can then be computed and combined with intersection points of the transmitted and received beam angles. With this conjunction between intersection points and path loss the algorithm generates a two dimensional map with path loss differences at beam intersecting positions. In difference to many other algorithms this algorithm needs only one measurement session without any human interaction as calibration. Then objects can be placed in the detection area. After a new measurement session the algorithm uses the difference in path loss between the sessions to build clusters as representation of the position of objects in the search area. The results show, that multiple objects can be placed and will be found in a two square meter sized environment with a 85.9% detection rate and only 6.51 cm localization error. The algorithm described in this thesis describes a good way for passive localization without the need for labour intense calibrations.

Quick access

BibTeX BibTeX

Contact

Dominic Simon

BibTeX reference

@phdthesis{simon2021device-free,
    author = {Simon, Dominic},
    title = {{Device-free Passive Localization using Millimeter Wave Radios}},
    advisor = {Zubow, Anatolij},
    institution = {School of Electrical Engineering and Computer Science (EECS)},
    location = {Berlin, Germany},
    month = {1},
    referee = {Dressler, Falko and Sikora, Thomas},
    school = {TU Berlin (TUB)},
    type = {Master's Thesis},
    year = {2021},
   }
   
   

Copyright notice

Links to final or draft versions of papers are presented here to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted or distributed for commercial purposes without the explicit permission of the copyright holder.

The following applies to all papers listed above that have IEEE copyrights: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

The following applies to all papers listed above that are in submission to IEEE conference/workshop proceedings or journals: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.

The following applies to all papers listed above that have ACM copyrights: ACM COPYRIGHT NOTICE. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept., ACM, Inc., fax +1 (212) 869-0481, or permissions@acm.org.

The following applies to all SpringerLink papers listed above that have Springer Science+Business Media copyrights: The original publication is available at www.springerlink.com.

This page was automatically generated using BibDB and bib2web.

Extras

TKN is co-organizing

Featured Paper

News