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simon2021device-free


Dominic Simon, "Device-free Passive Localization using Millimeter Wave Radios," Master's Thesis, School of Electrical Engineering and Computer Science, 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.

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@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},
    location = {Berlin, Germany},
    month = {1},
    referee = {Dressler, Falko and Sikora, Thomas},
    school = {TU Berlin (TUB)},
    type = {Master's Thesis},
    year = {2021},
   }
   
   

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