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Exploring Near-Field SAR with mmWave Pulsed Coherent Radar

Yrlid, Elina LU (2023) In Master's Theses in Mathematical Sciences FMSM01 20231
Mathematical Statistics
Abstract
This thesis explores the option to apply Synthetic Aperture Radar (SAR) techniques to image near-field targets utilizing mmWave pulsed coherent radar (PCR). The recent development of mmWave radars has broadened the scope for SAR, but there are few concrete examples explaining and demonstrating the fundamental SAR algorithms from a PCR perspective.

This thesis aims to address this gap by investigating the imaging capabilities of near-field SAR, where the curvature of the incoming waves has to be considered. The focus is on a comparative analysis of two distinct imaging approaches: frequency-based image formation and time-based image formation. The two approaches are compared using elementary algorithms in each category: Doppler Beam... (More)
This thesis explores the option to apply Synthetic Aperture Radar (SAR) techniques to image near-field targets utilizing mmWave pulsed coherent radar (PCR). The recent development of mmWave radars has broadened the scope for SAR, but there are few concrete examples explaining and demonstrating the fundamental SAR algorithms from a PCR perspective.

This thesis aims to address this gap by investigating the imaging capabilities of near-field SAR, where the curvature of the incoming waves has to be considered. The focus is on a comparative analysis of two distinct imaging approaches: frequency-based image formation and time-based image formation. The two approaches are compared using elementary algorithms in each category: Doppler Beam Sharpening and Global Backprojection. The comparison involves explaining the theory and approximations of each algorithm, discussing the shortcomings, and examining the expected effects when applying them in near-field applications. These effects are later exemplified through simulations. Finally, the algorithms are applied to measurements made using the Acconeer A121 PCR system, showcasing the remarkable potential of basic SAR techniques in rendering intricate images of near-field targets. By making these investigations, we endeavor to contribute to the academic understanding and practical utilization of near-field SAR with PCR systems. (Less)
Please use this url to cite or link to this publication:
author
Yrlid, Elina LU
supervisor
organization
course
FMSM01 20231
year
type
H2 - Master's Degree (Two Years)
subject
keywords
SAR, Synthetic Aperture Radar, PCR, pulsed coherent radar, radar, mmWave, millimeter-wave, near-field, 60GHz
publication/series
Master's Theses in Mathematical Sciences
report number
LUTFMS-3486-2023
ISSN
1404-6342
other publication id
2023:E59
language
English
id
9127185
date added to LUP
2023-06-21 15:45:32
date last changed
2023-07-03 13:31:54
@misc{9127185,
  abstract     = {{This thesis explores the option to apply Synthetic Aperture Radar (SAR) techniques to image near-field targets utilizing mmWave pulsed coherent radar (PCR). The recent development of mmWave radars has broadened the scope for SAR, but there are few concrete examples explaining and demonstrating the fundamental SAR algorithms from a PCR perspective.

This thesis aims to address this gap by investigating the imaging capabilities of near-field SAR, where the curvature of the incoming waves has to be considered. The focus is on a comparative analysis of two distinct imaging approaches: frequency-based image formation and time-based image formation. The two approaches are compared using elementary algorithms in each category: Doppler Beam Sharpening and Global Backprojection. The comparison involves explaining the theory and approximations of each algorithm, discussing the shortcomings, and examining the expected effects when applying them in near-field applications. These effects are later exemplified through simulations. Finally, the algorithms are applied to measurements made using the Acconeer A121 PCR system, showcasing the remarkable potential of basic SAR techniques in rendering intricate images of near-field targets. By making these investigations, we endeavor to contribute to the academic understanding and practical utilization of near-field SAR with PCR systems.}},
  author       = {{Yrlid, Elina}},
  issn         = {{1404-6342}},
  language     = {{eng}},
  note         = {{Student Paper}},
  series       = {{Master's Theses in Mathematical Sciences}},
  title        = {{Exploring Near-Field SAR with mmWave Pulsed Coherent Radar}},
  year         = {{2023}},
}