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Multipath Modelling for 60 GHz Short Range Radar

Nüsslein, Andre LU (2021) In Bachelor's Theses in Mathematical Sciences MASK11 20202
Mathematical Statistics
Abstract (Swedish)
If radar surveillance systems are installed near a wall, their radiation is reflected not only from moving objects but also from the wall. In this way, non­existing so­called ghost targets can lead to false detections. This thesis exploits such ghost detections to infer the position and extension
of a wall next to a radar sensor. This is done by geometric equations only and proves especially successful outdoors. With this knowledge, it will be possible to distinguish ghost targets from real ones and even use them for improved object detection.
Please use this url to cite or link to this publication:
author
Nüsslein, Andre LU
supervisor
organization
course
MASK11 20202
year
type
M2 - Bachelor Degree
subject
keywords
Radar, Surveillance, Multipath
publication/series
Bachelor's Theses in Mathematical Sciences
report number
LUNFMS-4050-2021
ISSN
1654-6229
other publication id
2021:K7
language
English
id
9040836
date added to LUP
2021-05-12 09:47:40
date last changed
2021-06-03 14:47:21
@misc{9040836,
  abstract     = {{If radar surveillance systems are installed near a wall, their radiation is reflected not only from moving objects but also from the wall. In this way, non­existing so­called ghost targets can lead to false detections. This thesis exploits such ghost detections to infer the position and extension
of a wall next to a radar sensor. This is done by geometric equations only and proves especially successful outdoors. With this knowledge, it will be possible to distinguish ghost targets from real ones and even use them for improved object detection.}},
  author       = {{Nüsslein, Andre}},
  issn         = {{1654-6229}},
  language     = {{eng}},
  note         = {{Student Paper}},
  series       = {{Bachelor's Theses in Mathematical Sciences}},
  title        = {{Multipath Modelling for 60 GHz Short Range Radar}},
  year         = {{2021}},
}