A Spatially Variant Point Spread Function for Near-field Radar Image Simulation

Jingzhe Shan; Xiaojian Xu

doi:10.1109/CAMA57522.2023.10352710

A Spatially Variant Point Spread Function for Near-field Radar Image Simulation

Jingzhe Shan
, Xiaojian Xu^*

^*Corresponding author for this work

School of Electronic and Information Engineering

Beihang University

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

1 Scopus citations

Abstract

Conventional radar image simulation requires electromagnetic (EM) scattering data over two-dimensional (2D) domain of wideband frequencies and observation angles. The repeated EM scattering calculation results in high computation complexity. In this work, a fast technique for 2-D near-field radar image simulation based on the shooting and bouncing ray (SBR) is proposed. Under the narrow band and small angle approximations, a closed form expression for the spatially variant point spread function (SVPSF) is derived to compute image domain contributions of the ray tubes. Simulation results demonstrate that the correlation coefficient between the radar images generated using the proposed fast technique and the conventional technique are over 0.98.

Original language	English
Title of host publication	2023 IEEE Conference on Antenna Measurements and Applications, CAMA 2023
Publisher	Institute of Electrical and Electronics Engineers
Pages	1016-1019
Number of pages	4
ISBN (Electronic)	9798350323047
DOIs	https://doi.org/10.1109/CAMA57522.2023.10352710
State	Published - 2023
Event	2023 IEEE Conference on Antenna Measurements and Applications, CAMA 2023 - Genoa, Italy Duration: 15 Nov 2023 → 17 Nov 2023

Publication series

Name	IEEE Conference on Antenna Measurements and Applications, CAMA
ISSN (Print)	2474-1760
ISSN (Electronic)	2643-6795

Conference

Conference	2023 IEEE Conference on Antenna Measurements and Applications, CAMA 2023
Country/Territory	Italy
City	Genoa
Period	15/11/23 → 17/11/23

Keywords

electromagnetic scattering
nearfield
radar imaging
shooting and bouncing ray (SBR)
spatially variant point spread function (SVPSF)

Access to Document

10.1109/CAMA57522.2023.10352710

Cite this

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title = "A Spatially Variant Point Spread Function for Near-field Radar Image Simulation",

abstract = "Conventional radar image simulation requires electromagnetic (EM) scattering data over two-dimensional (2D) domain of wideband frequencies and observation angles. The repeated EM scattering calculation results in high computation complexity. In this work, a fast technique for 2-D near-field radar image simulation based on the shooting and bouncing ray (SBR) is proposed. Under the narrow band and small angle approximations, a closed form expression for the spatially variant point spread function (SVPSF) is derived to compute image domain contributions of the ray tubes. Simulation results demonstrate that the correlation coefficient between the radar images generated using the proposed fast technique and the conventional technique are over 0.98.",

keywords = "electromagnetic scattering, nearfield, radar imaging, shooting and bouncing ray (SBR), spatially variant point spread function (SVPSF)",

author = "Jingzhe Shan and Xiaojian Xu",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE Conference on Antenna Measurements and Applications, CAMA 2023 ; Conference date: 15-11-2023 Through 17-11-2023",

year = "2023",

doi = "10.1109/CAMA57522.2023.10352710",

language = "英语",

series = "IEEE Conference on Antenna Measurements and Applications, CAMA",

publisher = "Institute of Electrical and Electronics Engineers",

pages = "1016--1019",

booktitle = "2023 IEEE Conference on Antenna Measurements and Applications, CAMA 2023",

address = "美国",

}

Shan, J & Xu, X 2023, A Spatially Variant Point Spread Function for Near-field Radar Image Simulation. in 2023 IEEE Conference on Antenna Measurements and Applications, CAMA 2023. IEEE Conference on Antenna Measurements and Applications, CAMA, Institute of Electrical and Electronics Engineers, pp. 1016-1019, 2023 IEEE Conference on Antenna Measurements and Applications, CAMA 2023, Genoa, Italy, 15/11/23. https://doi.org/10.1109/CAMA57522.2023.10352710

A Spatially Variant Point Spread Function for Near-field Radar Image Simulation. / Shan, Jingzhe; Xu, Xiaojian.
2023 IEEE Conference on Antenna Measurements and Applications, CAMA 2023. Institute of Electrical and Electronics Engineers, 2023. p. 1016-1019 (IEEE Conference on Antenna Measurements and Applications, CAMA).

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

TY - GEN

T1 - A Spatially Variant Point Spread Function for Near-field Radar Image Simulation

AU - Shan, Jingzhe

AU - Xu, Xiaojian

PY - 2023

Y1 - 2023

N2 - Conventional radar image simulation requires electromagnetic (EM) scattering data over two-dimensional (2D) domain of wideband frequencies and observation angles. The repeated EM scattering calculation results in high computation complexity. In this work, a fast technique for 2-D near-field radar image simulation based on the shooting and bouncing ray (SBR) is proposed. Under the narrow band and small angle approximations, a closed form expression for the spatially variant point spread function (SVPSF) is derived to compute image domain contributions of the ray tubes. Simulation results demonstrate that the correlation coefficient between the radar images generated using the proposed fast technique and the conventional technique are over 0.98.

AB - Conventional radar image simulation requires electromagnetic (EM) scattering data over two-dimensional (2D) domain of wideband frequencies and observation angles. The repeated EM scattering calculation results in high computation complexity. In this work, a fast technique for 2-D near-field radar image simulation based on the shooting and bouncing ray (SBR) is proposed. Under the narrow band and small angle approximations, a closed form expression for the spatially variant point spread function (SVPSF) is derived to compute image domain contributions of the ray tubes. Simulation results demonstrate that the correlation coefficient between the radar images generated using the proposed fast technique and the conventional technique are over 0.98.

KW - electromagnetic scattering

KW - nearfield

KW - radar imaging

KW - shooting and bouncing ray (SBR)

KW - spatially variant point spread function (SVPSF)

UR - https://www.scopus.com/pages/publications/85182254530

U2 - 10.1109/CAMA57522.2023.10352710

DO - 10.1109/CAMA57522.2023.10352710

M3 - 会议稿件

AN - SCOPUS:85182254530

T3 - IEEE Conference on Antenna Measurements and Applications, CAMA

SP - 1016

EP - 1019

BT - 2023 IEEE Conference on Antenna Measurements and Applications, CAMA 2023

PB - Institute of Electrical and Electronics Engineers

T2 - 2023 IEEE Conference on Antenna Measurements and Applications, CAMA 2023

Y2 - 15 November 2023 through 17 November 2023

ER -

A Spatially Variant Point Spread Function for Near-field Radar Image Simulation

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Keywords

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