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Localisation and estimation of vibrations using mmWave Pulsed Coherent Radar

Ghatnekar Nilsson, Linus LU (2025) In Master's Theses in Mathematical Sciences FMSM01 20242
Mathematical Statistics
Abstract
Detection and extraction of vibrating objects and their frequencies can be critical in monitoring and maintenance of mechanical tools and machines. This often involves multiple contact-based equipment that require manual tampering and calibration. However, due to the availability of low-cost and low-energy consumption radars, a novel way of extracting positioning and frequency content of one or multiple vibrating objects in a room is presented. Throughout the project the Acconeer A212 sensor is used, which is a pulsed coherent 60.5GHz millimeter-wave multichannel radar. Data is initially gathered through a simulation environment with objects represented as points in the room, from which an algorithm is implemented. Later the algorithm is... (More)
Detection and extraction of vibrating objects and their frequencies can be critical in monitoring and maintenance of mechanical tools and machines. This often involves multiple contact-based equipment that require manual tampering and calibration. However, due to the availability of low-cost and low-energy consumption radars, a novel way of extracting positioning and frequency content of one or multiple vibrating objects in a room is presented. Throughout the project the Acconeer A212 sensor is used, which is a pulsed coherent 60.5GHz millimeter-wave multichannel radar. Data is initially gathered through a simulation environment with objects represented as points in the room, from which an algorithm is implemented. Later the algorithm is fine-tuned on data gathered from the Acconeer lab. The results show that the novel algorithm successfully determines positioning and frequencies in certain settings, even separating different frequencies at the same range. As an ode to the author, the algorithm was named ‘The Ghat Strat Machine’ but will throughout the project be referred to as ‘the algorithm’. (Less)
Please use this url to cite or link to this publication:
author
Ghatnekar Nilsson, Linus LU
supervisor
organization
course
FMSM01 20242
year
type
H2 - Master's Degree (Two Years)
subject
keywords
Keywords: Vibration measurement, radar, FFT, beamforming, frequency estimation
publication/series
Master's Theses in Mathematical Sciences
report number
LUTFMS-3509-2025
ISSN
1404-6342
other publication id
2025:E4
language
English
id
9183444
date added to LUP
2025-01-30 11:11:23
date last changed
2025-02-11 14:24:32
@misc{9183444,
  abstract     = {{Detection and extraction of vibrating objects and their frequencies can be critical in monitoring and maintenance of mechanical tools and machines. This often involves multiple contact-based equipment that require manual tampering and calibration. However, due to the availability of low-cost and low-energy consumption radars, a novel way of extracting positioning and frequency content of one or multiple vibrating objects in a room is presented. Throughout the project the Acconeer A212 sensor is used, which is a pulsed coherent 60.5GHz millimeter-wave multichannel radar. Data is initially gathered through a simulation environment with objects represented as points in the room, from which an algorithm is implemented. Later the algorithm is fine-tuned on data gathered from the Acconeer lab. The results show that the novel algorithm successfully determines positioning and frequencies in certain settings, even separating different frequencies at the same range. As an ode to the author, the algorithm was named ‘The Ghat Strat Machine’ but will throughout the project be referred to as ‘the algorithm’.}},
  author       = {{Ghatnekar Nilsson, Linus}},
  issn         = {{1404-6342}},
  language     = {{eng}},
  note         = {{Student Paper}},
  series       = {{Master's Theses in Mathematical Sciences}},
  title        = {{Localisation and estimation of vibrations using mmWave Pulsed Coherent Radar}},
  year         = {{2025}},
}