Curvilinear Aperture Monopulse

Mark Story

doi:10.1109/RadarConf2351548.2023.10149596

Curvilinear Aperture Monopulse

Mark Story

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

By a symmetry argument, a synthetic aperture radar collection along a linear path does not collect three-dimensional information about the scene. However, it is known that vertical curvature can be used to derive some vertical position information. This paper approaches the problem from a monopulse perspective, resulting in a non-iterative computation that commutes with efficient image formation algorithms.

Original language	English
Title of host publication	RadarConf23 - 2023 IEEE Radar Conference, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665436694
DOIs	https://doi.org/10.1109/RadarConf2351548.2023.10149596
State	Published - 2023
Event	2023 IEEE Radar Conference, RadarConf23 - San Antonia, United States Duration: May 1 2023 → May 5 2023

Publication series

Name	Proceedings of the IEEE Radar Conference
Volume	2023-May
ISSN (Print)	1097-5764
ISSN (Electronic)	2375-5318

Conference

Conference	2023 IEEE Radar Conference, RadarConf23
Country/Territory	United States
City	San Antonia
Period	05/1/23 → 05/5/23

Funding

Research sponsored by Oak Ridge National Laboratory, managed by UT-Battelle, LLC, for the U. S. Department of Energy.

Keywords

array processing
monopulse
sar processing
synthetic aperture radar

Access to Document

10.1109/RadarConf2351548.2023.10149596

Cite this

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title = "Curvilinear Aperture Monopulse",

abstract = "By a symmetry argument, a synthetic aperture radar collection along a linear path does not collect three-dimensional information about the scene. However, it is known that vertical curvature can be used to derive some vertical position information. This paper approaches the problem from a monopulse perspective, resulting in a non-iterative computation that commutes with efficient image formation algorithms.",

keywords = "array processing, monopulse, sar processing, synthetic aperture radar",

author = "Mark Story",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE Radar Conference, RadarConf23 ; Conference date: 01-05-2023 Through 05-05-2023",

year = "2023",

doi = "10.1109/RadarConf2351548.2023.10149596",

language = "English",

series = "Proceedings of the IEEE Radar Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "RadarConf23 - 2023 IEEE Radar Conference, Proceedings",

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T1 - Curvilinear Aperture Monopulse

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PY - 2023

Y1 - 2023

N2 - By a symmetry argument, a synthetic aperture radar collection along a linear path does not collect three-dimensional information about the scene. However, it is known that vertical curvature can be used to derive some vertical position information. This paper approaches the problem from a monopulse perspective, resulting in a non-iterative computation that commutes with efficient image formation algorithms.

AB - By a symmetry argument, a synthetic aperture radar collection along a linear path does not collect three-dimensional information about the scene. However, it is known that vertical curvature can be used to derive some vertical position information. This paper approaches the problem from a monopulse perspective, resulting in a non-iterative computation that commutes with efficient image formation algorithms.

KW - array processing

KW - monopulse

KW - sar processing

KW - synthetic aperture radar

UR - https://www.scopus.com/pages/publications/85163757855

U2 - 10.1109/RadarConf2351548.2023.10149596

DO - 10.1109/RadarConf2351548.2023.10149596

M3 - Conference contribution

AN - SCOPUS:85163757855

T3 - Proceedings of the IEEE Radar Conference

BT - RadarConf23 - 2023 IEEE Radar Conference, Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE Radar Conference, RadarConf23

Y2 - 1 May 2023 through 5 May 2023

ER -

Curvilinear Aperture Monopulse

Abstract

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