Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Robust Localization of Close-Range Radar Reflections

Jansson, Andreas LU orcid and Jakobsson, Andreas LU orcid (2023) 57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023 p.549-553
Abstract

In order to allow for a computationally efficient estimation of radar reflections, one commonly assumes the reflecting target to be in the far-field of the sensing array, such that the impinging wavefront is modeled as a linear phase-shift along the array. This works well in most radar scenarios, but causes significant performance degradation for close-range radar systems, wherein the curvature of the impinging wavefront may not be neglected. In this work, we examine how the used far-field assumption limits the resulting performance, illustrating how the (misspecified) Cramér-Rao lower bound (CRLB), taking the model mismatch into account, significantly devi-ates from the true CRLB for close-range targets. We further introduce a robust... (More)

In order to allow for a computationally efficient estimation of radar reflections, one commonly assumes the reflecting target to be in the far-field of the sensing array, such that the impinging wavefront is modeled as a linear phase-shift along the array. This works well in most radar scenarios, but causes significant performance degradation for close-range radar systems, wherein the curvature of the impinging wavefront may not be neglected. In this work, we examine how the used far-field assumption limits the resulting performance, illustrating how the (misspecified) Cramér-Rao lower bound (CRLB), taking the model mismatch into account, significantly devi-ates from the true CRLB for close-range targets. We further introduce a robust estimator that allows for the waveform cur-vature, showing that this computationally efficient estimator allows for superior performance for close-range reflectors.

(Less)
Please use this url to cite or link to this publication:
author
and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
Conference Record of the 57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023
editor
Matthews, Michael B.
pages
5 pages
publisher
IEEE Computer Society
conference name
57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023
conference location
Pacific Grove, United States
conference dates
2023-10-29 - 2023-11-01
external identifiers
  • scopus:85190365073
ISBN
9798350325744
DOI
10.1109/IEEECONF59524.2023.10476947
language
English
LU publication?
yes
id
a87d56be-0a47-4297-94e2-9330a6b37390
date added to LUP
2024-04-29 16:22:12
date last changed
2024-04-29 16:23:23
@inproceedings{a87d56be-0a47-4297-94e2-9330a6b37390,
  abstract     = {{<p>In order to allow for a computationally efficient estimation of radar reflections, one commonly assumes the reflecting target to be in the far-field of the sensing array, such that the impinging wavefront is modeled as a linear phase-shift along the array. This works well in most radar scenarios, but causes significant performance degradation for close-range radar systems, wherein the curvature of the impinging wavefront may not be neglected. In this work, we examine how the used far-field assumption limits the resulting performance, illustrating how the (misspecified) Cramér-Rao lower bound (CRLB), taking the model mismatch into account, significantly devi-ates from the true CRLB for close-range targets. We further introduce a robust estimator that allows for the waveform cur-vature, showing that this computationally efficient estimator allows for superior performance for close-range reflectors.</p>}},
  author       = {{Jansson, Andreas and Jakobsson, Andreas}},
  booktitle    = {{Conference Record of the 57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023}},
  editor       = {{Matthews, Michael B.}},
  isbn         = {{9798350325744}},
  language     = {{eng}},
  pages        = {{549--553}},
  publisher    = {{IEEE Computer Society}},
  title        = {{Robust Localization of Close-Range Radar Reflections}},
  url          = {{http://dx.doi.org/10.1109/IEEECONF59524.2023.10476947}},
  doi          = {{10.1109/IEEECONF59524.2023.10476947}},
  year         = {{2023}},
}